Uploading checkpoint-99000 for xlm-r - uzn-latn
Browse files- .gitattributes +1 -0
- README.md +67 -0
- config.json +34 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- scheduler.pt +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- trainer_state.json +3201 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: FacebookAI/xlm-roberta-base
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: uzn-Latn
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# uzn-Latn
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.6229
|
| 22 |
+
- Accuracy: 0.8653
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 0.0001
|
| 42 |
+
- train_batch_size: 16
|
| 43 |
+
- eval_batch_size: 16
|
| 44 |
+
- seed: 42
|
| 45 |
+
- distributed_type: multi-GPU
|
| 46 |
+
- num_devices: 2
|
| 47 |
+
- total_train_batch_size: 32
|
| 48 |
+
- total_eval_batch_size: 32
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- training_steps: 100000
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
### Citation Information
|
| 55 |
+
|
| 56 |
+
If you use this model in your work, please cite the following paper. Additionally, if you require more details on training and performance, refer to the paper:
|
| 57 |
+
|
| 58 |
+
@misc{gurgurov2025smallmodelsbigimpact,
|
| 59 |
+
title={Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languages},
|
| 60 |
+
author={Daniil Gurgurov and Ivan Vykopal and Josef van Genabith and Simon Ostermann},
|
| 61 |
+
year={2025},
|
| 62 |
+
eprint={2502.10140},
|
| 63 |
+
archivePrefix={arXiv},
|
| 64 |
+
primaryClass={cs.CL},
|
| 65 |
+
url={https://arxiv.org/abs/2502.10140},
|
| 66 |
+
}
|
| 67 |
+
|
config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "FacebookAI/xlm-roberta-base",
|
| 3 |
+
"adapters": {
|
| 4 |
+
"adapters": {},
|
| 5 |
+
"config_map": {},
|
| 6 |
+
"fusion_config_map": {},
|
| 7 |
+
"fusions": {}
|
| 8 |
+
},
|
| 9 |
+
"architectures": [
|
| 10 |
+
"XLMRobertaForMaskedLM"
|
| 11 |
+
],
|
| 12 |
+
"attention_probs_dropout_prob": 0.1,
|
| 13 |
+
"bos_token_id": 0,
|
| 14 |
+
"classifier_dropout": null,
|
| 15 |
+
"eos_token_id": 2,
|
| 16 |
+
"hidden_act": "gelu",
|
| 17 |
+
"hidden_dropout_prob": 0.1,
|
| 18 |
+
"hidden_size": 768,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 3072,
|
| 21 |
+
"layer_norm_eps": 1e-05,
|
| 22 |
+
"max_position_embeddings": 514,
|
| 23 |
+
"model_type": "xlm-roberta",
|
| 24 |
+
"num_attention_heads": 12,
|
| 25 |
+
"num_hidden_layers": 12,
|
| 26 |
+
"output_past": true,
|
| 27 |
+
"pad_token_id": 1,
|
| 28 |
+
"position_embedding_type": "absolute",
|
| 29 |
+
"torch_dtype": "float32",
|
| 30 |
+
"transformers_version": "4.45.2",
|
| 31 |
+
"type_vocab_size": 1,
|
| 32 |
+
"use_cache": true,
|
| 33 |
+
"vocab_size": 250002
|
| 34 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:332cea4539e1cadc20089ac3ef1ade6245aa13ba9248f2a0b7eb7da1dfe4bf9e
|
| 3 |
+
size 1113205088
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cb607eaff897112bbbc2731509030fc74f29b8d9b2a8995cfc1fde5817b19057
|
| 3 |
+
size 2226530490
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e8b0c40741c3ca3d58b24396b7779893a066d87b35191d3858caf8b8c764edb
|
| 3 |
+
size 14512
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6ef4f664da58ec5c5db88234f7495dc67b3e9b75bb64d714f5cd8d137a3a81e
|
| 3 |
+
size 14512
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4415404b182ca8f419ce636856a8efa57ef9cce9de682e39e40579cf7bbd5cfa
|
| 3 |
+
size 1064
|
sentencepiece.bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
| 3 |
+
size 5069051
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"cls_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"mask_token": {
|
| 6 |
+
"content": "<mask>",
|
| 7 |
+
"lstrip": true,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"pad_token": "<pad>",
|
| 13 |
+
"sep_token": "</s>",
|
| 14 |
+
"unk_token": "<unk>"
|
| 15 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a56def25aa40facc030ea8b0b87f3688e4b3c39eb8b45d5702b3a1300fe2a20
|
| 3 |
+
size 17082734
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": false,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"mask_token": "<mask>",
|
| 49 |
+
"model_max_length": 512,
|
| 50 |
+
"pad_token": "<pad>",
|
| 51 |
+
"sep_token": "</s>",
|
| 52 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
| 53 |
+
"unk_token": "<unk>"
|
| 54 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3201 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6234558820724487,
|
| 3 |
+
"best_model_checkpoint": "./model_fine-tune/glot/xlm-r/uzn-Latn/checkpoint-99000",
|
| 4 |
+
"epoch": 41.89589504866695,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 99000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.21159542953872196,
|
| 13 |
+
"grad_norm": 4.434164524078369,
|
| 14 |
+
"learning_rate": 9.95e-05,
|
| 15 |
+
"loss": 1.5949,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.21159542953872196,
|
| 20 |
+
"eval_accuracy": 0.7415006903887,
|
| 21 |
+
"eval_loss": 1.3261646032333374,
|
| 22 |
+
"eval_runtime": 265.0068,
|
| 23 |
+
"eval_samples_per_second": 71.308,
|
| 24 |
+
"eval_steps_per_second": 2.23,
|
| 25 |
+
"step": 500
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 0.4231908590774439,
|
| 29 |
+
"grad_norm": 3.693413019180298,
|
| 30 |
+
"learning_rate": 9.900000000000001e-05,
|
| 31 |
+
"loss": 1.4055,
|
| 32 |
+
"step": 1000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.4231908590774439,
|
| 36 |
+
"eval_accuracy": 0.7583639306343546,
|
| 37 |
+
"eval_loss": 1.227454423904419,
|
| 38 |
+
"eval_runtime": 262.5029,
|
| 39 |
+
"eval_samples_per_second": 71.988,
|
| 40 |
+
"eval_steps_per_second": 2.251,
|
| 41 |
+
"step": 1000
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 0.6347862886161659,
|
| 45 |
+
"grad_norm": 3.762786626815796,
|
| 46 |
+
"learning_rate": 9.850000000000001e-05,
|
| 47 |
+
"loss": 1.3153,
|
| 48 |
+
"step": 1500
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 0.6347862886161659,
|
| 52 |
+
"eval_accuracy": 0.7683719424177892,
|
| 53 |
+
"eval_loss": 1.165597915649414,
|
| 54 |
+
"eval_runtime": 264.0264,
|
| 55 |
+
"eval_samples_per_second": 71.572,
|
| 56 |
+
"eval_steps_per_second": 2.238,
|
| 57 |
+
"step": 1500
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.8463817181548878,
|
| 61 |
+
"grad_norm": 3.268561363220215,
|
| 62 |
+
"learning_rate": 9.8e-05,
|
| 63 |
+
"loss": 1.2465,
|
| 64 |
+
"step": 2000
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.8463817181548878,
|
| 68 |
+
"eval_accuracy": 0.7746318121371659,
|
| 69 |
+
"eval_loss": 1.129242181777954,
|
| 70 |
+
"eval_runtime": 267.1986,
|
| 71 |
+
"eval_samples_per_second": 70.723,
|
| 72 |
+
"eval_steps_per_second": 2.212,
|
| 73 |
+
"step": 2000
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 1.0579771476936097,
|
| 77 |
+
"grad_norm": 3.4465203285217285,
|
| 78 |
+
"learning_rate": 9.75e-05,
|
| 79 |
+
"loss": 1.1997,
|
| 80 |
+
"step": 2500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 1.0579771476936097,
|
| 84 |
+
"eval_accuracy": 0.7807192546952261,
|
| 85 |
+
"eval_loss": 1.0862959623336792,
|
| 86 |
+
"eval_runtime": 265.0077,
|
| 87 |
+
"eval_samples_per_second": 71.307,
|
| 88 |
+
"eval_steps_per_second": 2.23,
|
| 89 |
+
"step": 2500
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 1.2695725772323319,
|
| 93 |
+
"grad_norm": 3.1835036277770996,
|
| 94 |
+
"learning_rate": 9.7e-05,
|
| 95 |
+
"loss": 1.1632,
|
| 96 |
+
"step": 3000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 1.2695725772323319,
|
| 100 |
+
"eval_accuracy": 0.786845547424612,
|
| 101 |
+
"eval_loss": 1.0550775527954102,
|
| 102 |
+
"eval_runtime": 268.1524,
|
| 103 |
+
"eval_samples_per_second": 70.471,
|
| 104 |
+
"eval_steps_per_second": 2.204,
|
| 105 |
+
"step": 3000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.4811680067710538,
|
| 109 |
+
"grad_norm": 3.164971351623535,
|
| 110 |
+
"learning_rate": 9.65e-05,
|
| 111 |
+
"loss": 1.1396,
|
| 112 |
+
"step": 3500
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 1.4811680067710538,
|
| 116 |
+
"eval_accuracy": 0.7906282636002393,
|
| 117 |
+
"eval_loss": 1.0312221050262451,
|
| 118 |
+
"eval_runtime": 261.0188,
|
| 119 |
+
"eval_samples_per_second": 72.397,
|
| 120 |
+
"eval_steps_per_second": 2.264,
|
| 121 |
+
"step": 3500
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.6927634363097757,
|
| 125 |
+
"grad_norm": 3.152045726776123,
|
| 126 |
+
"learning_rate": 9.6e-05,
|
| 127 |
+
"loss": 1.1218,
|
| 128 |
+
"step": 4000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.6927634363097757,
|
| 132 |
+
"eval_accuracy": 0.7939129095846292,
|
| 133 |
+
"eval_loss": 1.0148138999938965,
|
| 134 |
+
"eval_runtime": 261.2127,
|
| 135 |
+
"eval_samples_per_second": 72.343,
|
| 136 |
+
"eval_steps_per_second": 2.263,
|
| 137 |
+
"step": 4000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.9043588658484976,
|
| 141 |
+
"grad_norm": 3.2000935077667236,
|
| 142 |
+
"learning_rate": 9.55e-05,
|
| 143 |
+
"loss": 1.0952,
|
| 144 |
+
"step": 4500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 1.9043588658484976,
|
| 148 |
+
"eval_accuracy": 0.796421854478171,
|
| 149 |
+
"eval_loss": 1.0022459030151367,
|
| 150 |
+
"eval_runtime": 262.0826,
|
| 151 |
+
"eval_samples_per_second": 72.103,
|
| 152 |
+
"eval_steps_per_second": 2.255,
|
| 153 |
+
"step": 4500
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.1159542953872195,
|
| 157 |
+
"grad_norm": 3.313800096511841,
|
| 158 |
+
"learning_rate": 9.5e-05,
|
| 159 |
+
"loss": 1.0685,
|
| 160 |
+
"step": 5000
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.1159542953872195,
|
| 164 |
+
"eval_accuracy": 0.7985224751944007,
|
| 165 |
+
"eval_loss": 0.988966703414917,
|
| 166 |
+
"eval_runtime": 264.052,
|
| 167 |
+
"eval_samples_per_second": 71.565,
|
| 168 |
+
"eval_steps_per_second": 2.238,
|
| 169 |
+
"step": 5000
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 2.327549724925942,
|
| 173 |
+
"grad_norm": 3.2013304233551025,
|
| 174 |
+
"learning_rate": 9.449999999999999e-05,
|
| 175 |
+
"loss": 1.0523,
|
| 176 |
+
"step": 5500
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 2.327549724925942,
|
| 180 |
+
"eval_accuracy": 0.8012577871302939,
|
| 181 |
+
"eval_loss": 0.9748390316963196,
|
| 182 |
+
"eval_runtime": 269.8704,
|
| 183 |
+
"eval_samples_per_second": 70.023,
|
| 184 |
+
"eval_steps_per_second": 2.19,
|
| 185 |
+
"step": 5500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 2.5391451544646637,
|
| 189 |
+
"grad_norm": 3.0251410007476807,
|
| 190 |
+
"learning_rate": 9.4e-05,
|
| 191 |
+
"loss": 1.044,
|
| 192 |
+
"step": 6000
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 2.5391451544646637,
|
| 196 |
+
"eval_accuracy": 0.8029170301339402,
|
| 197 |
+
"eval_loss": 0.9601685404777527,
|
| 198 |
+
"eval_runtime": 268.4232,
|
| 199 |
+
"eval_samples_per_second": 70.4,
|
| 200 |
+
"eval_steps_per_second": 2.202,
|
| 201 |
+
"step": 6000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 2.7507405840033856,
|
| 205 |
+
"grad_norm": 2.930997848510742,
|
| 206 |
+
"learning_rate": 9.350000000000001e-05,
|
| 207 |
+
"loss": 1.0343,
|
| 208 |
+
"step": 6500
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 2.7507405840033856,
|
| 212 |
+
"eval_accuracy": 0.805052253217078,
|
| 213 |
+
"eval_loss": 0.9487553238868713,
|
| 214 |
+
"eval_runtime": 264.5768,
|
| 215 |
+
"eval_samples_per_second": 71.423,
|
| 216 |
+
"eval_steps_per_second": 2.234,
|
| 217 |
+
"step": 6500
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 2.9623360135421075,
|
| 221 |
+
"grad_norm": 3.306950092315674,
|
| 222 |
+
"learning_rate": 9.300000000000001e-05,
|
| 223 |
+
"loss": 1.0207,
|
| 224 |
+
"step": 7000
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 2.9623360135421075,
|
| 228 |
+
"eval_accuracy": 0.8072712938050743,
|
| 229 |
+
"eval_loss": 0.9344848990440369,
|
| 230 |
+
"eval_runtime": 261.3121,
|
| 231 |
+
"eval_samples_per_second": 72.316,
|
| 232 |
+
"eval_steps_per_second": 2.262,
|
| 233 |
+
"step": 7000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 3.1739314430808294,
|
| 237 |
+
"grad_norm": 3.1234290599823,
|
| 238 |
+
"learning_rate": 9.250000000000001e-05,
|
| 239 |
+
"loss": 0.9968,
|
| 240 |
+
"step": 7500
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 3.1739314430808294,
|
| 244 |
+
"eval_accuracy": 0.8097116174930715,
|
| 245 |
+
"eval_loss": 0.9220897555351257,
|
| 246 |
+
"eval_runtime": 261.4242,
|
| 247 |
+
"eval_samples_per_second": 72.285,
|
| 248 |
+
"eval_steps_per_second": 2.261,
|
| 249 |
+
"step": 7500
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 3.3855268726195513,
|
| 253 |
+
"grad_norm": 2.843127489089966,
|
| 254 |
+
"learning_rate": 9.200000000000001e-05,
|
| 255 |
+
"loss": 0.9911,
|
| 256 |
+
"step": 8000
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 3.3855268726195513,
|
| 260 |
+
"eval_accuracy": 0.8093441915469591,
|
| 261 |
+
"eval_loss": 0.9209358096122742,
|
| 262 |
+
"eval_runtime": 262.059,
|
| 263 |
+
"eval_samples_per_second": 72.11,
|
| 264 |
+
"eval_steps_per_second": 2.255,
|
| 265 |
+
"step": 8000
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 3.597122302158273,
|
| 269 |
+
"grad_norm": 2.881608486175537,
|
| 270 |
+
"learning_rate": 9.15e-05,
|
| 271 |
+
"loss": 0.9814,
|
| 272 |
+
"step": 8500
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 3.597122302158273,
|
| 276 |
+
"eval_accuracy": 0.8116044495854465,
|
| 277 |
+
"eval_loss": 0.9110698103904724,
|
| 278 |
+
"eval_runtime": 262.9803,
|
| 279 |
+
"eval_samples_per_second": 71.857,
|
| 280 |
+
"eval_steps_per_second": 2.247,
|
| 281 |
+
"step": 8500
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 3.808717731696995,
|
| 285 |
+
"grad_norm": 2.61930775642395,
|
| 286 |
+
"learning_rate": 9.1e-05,
|
| 287 |
+
"loss": 0.9771,
|
| 288 |
+
"step": 9000
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 3.808717731696995,
|
| 292 |
+
"eval_accuracy": 0.8128892549218165,
|
| 293 |
+
"eval_loss": 0.9043537974357605,
|
| 294 |
+
"eval_runtime": 262.8053,
|
| 295 |
+
"eval_samples_per_second": 71.905,
|
| 296 |
+
"eval_steps_per_second": 2.249,
|
| 297 |
+
"step": 9000
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 4.020313161235717,
|
| 301 |
+
"grad_norm": 2.6366899013519287,
|
| 302 |
+
"learning_rate": 9.05e-05,
|
| 303 |
+
"loss": 0.9672,
|
| 304 |
+
"step": 9500
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 4.020313161235717,
|
| 308 |
+
"eval_accuracy": 0.8148536051761858,
|
| 309 |
+
"eval_loss": 0.8920000791549683,
|
| 310 |
+
"eval_runtime": 261.5431,
|
| 311 |
+
"eval_samples_per_second": 72.252,
|
| 312 |
+
"eval_steps_per_second": 2.26,
|
| 313 |
+
"step": 9500
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 4.231908590774439,
|
| 317 |
+
"grad_norm": 2.441375494003296,
|
| 318 |
+
"learning_rate": 9e-05,
|
| 319 |
+
"loss": 0.9449,
|
| 320 |
+
"step": 10000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 4.231908590774439,
|
| 324 |
+
"eval_accuracy": 0.814937091817134,
|
| 325 |
+
"eval_loss": 0.8959429860115051,
|
| 326 |
+
"eval_runtime": 261.984,
|
| 327 |
+
"eval_samples_per_second": 72.13,
|
| 328 |
+
"eval_steps_per_second": 2.256,
|
| 329 |
+
"step": 10000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 4.443504020313161,
|
| 333 |
+
"grad_norm": 2.8624706268310547,
|
| 334 |
+
"learning_rate": 8.950000000000001e-05,
|
| 335 |
+
"loss": 0.9437,
|
| 336 |
+
"step": 10500
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 4.443504020313161,
|
| 340 |
+
"eval_accuracy": 0.8163062854097559,
|
| 341 |
+
"eval_loss": 0.8837795257568359,
|
| 342 |
+
"eval_runtime": 263.0741,
|
| 343 |
+
"eval_samples_per_second": 71.831,
|
| 344 |
+
"eval_steps_per_second": 2.247,
|
| 345 |
+
"step": 10500
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 4.655099449851884,
|
| 349 |
+
"grad_norm": 2.6085846424102783,
|
| 350 |
+
"learning_rate": 8.900000000000001e-05,
|
| 351 |
+
"loss": 0.9411,
|
| 352 |
+
"step": 11000
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 4.655099449851884,
|
| 356 |
+
"eval_accuracy": 0.8171731998620368,
|
| 357 |
+
"eval_loss": 0.8850966691970825,
|
| 358 |
+
"eval_runtime": 261.6176,
|
| 359 |
+
"eval_samples_per_second": 72.231,
|
| 360 |
+
"eval_steps_per_second": 2.259,
|
| 361 |
+
"step": 11000
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 4.8666948793906055,
|
| 365 |
+
"grad_norm": 2.5416243076324463,
|
| 366 |
+
"learning_rate": 8.850000000000001e-05,
|
| 367 |
+
"loss": 0.933,
|
| 368 |
+
"step": 11500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 4.8666948793906055,
|
| 372 |
+
"eval_accuracy": 0.8185834466131473,
|
| 373 |
+
"eval_loss": 0.8731749057769775,
|
| 374 |
+
"eval_runtime": 261.782,
|
| 375 |
+
"eval_samples_per_second": 72.186,
|
| 376 |
+
"eval_steps_per_second": 2.258,
|
| 377 |
+
"step": 11500
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 5.078290308929327,
|
| 381 |
+
"grad_norm": 2.612407922744751,
|
| 382 |
+
"learning_rate": 8.800000000000001e-05,
|
| 383 |
+
"loss": 0.9315,
|
| 384 |
+
"step": 12000
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 5.078290308929327,
|
| 388 |
+
"eval_accuracy": 0.8187567458175931,
|
| 389 |
+
"eval_loss": 0.869110107421875,
|
| 390 |
+
"eval_runtime": 261.1101,
|
| 391 |
+
"eval_samples_per_second": 72.372,
|
| 392 |
+
"eval_steps_per_second": 2.263,
|
| 393 |
+
"step": 12000
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 5.289885738468049,
|
| 397 |
+
"grad_norm": 2.8483285903930664,
|
| 398 |
+
"learning_rate": 8.75e-05,
|
| 399 |
+
"loss": 0.9088,
|
| 400 |
+
"step": 12500
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 5.289885738468049,
|
| 404 |
+
"eval_accuracy": 0.8201638435459165,
|
| 405 |
+
"eval_loss": 0.8674561381340027,
|
| 406 |
+
"eval_runtime": 261.9262,
|
| 407 |
+
"eval_samples_per_second": 72.146,
|
| 408 |
+
"eval_steps_per_second": 2.256,
|
| 409 |
+
"step": 12500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 5.501481168006771,
|
| 413 |
+
"grad_norm": 2.5588083267211914,
|
| 414 |
+
"learning_rate": 8.7e-05,
|
| 415 |
+
"loss": 0.9058,
|
| 416 |
+
"step": 13000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 5.501481168006771,
|
| 420 |
+
"eval_accuracy": 0.8214759119665203,
|
| 421 |
+
"eval_loss": 0.8570760488510132,
|
| 422 |
+
"eval_runtime": 262.1678,
|
| 423 |
+
"eval_samples_per_second": 72.08,
|
| 424 |
+
"eval_steps_per_second": 2.254,
|
| 425 |
+
"step": 13000
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 5.713076597545493,
|
| 429 |
+
"grad_norm": 2.814786911010742,
|
| 430 |
+
"learning_rate": 8.65e-05,
|
| 431 |
+
"loss": 0.9167,
|
| 432 |
+
"step": 13500
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 5.713076597545493,
|
| 436 |
+
"eval_accuracy": 0.8220026413735142,
|
| 437 |
+
"eval_loss": 0.855957567691803,
|
| 438 |
+
"eval_runtime": 260.6428,
|
| 439 |
+
"eval_samples_per_second": 72.502,
|
| 440 |
+
"eval_steps_per_second": 2.267,
|
| 441 |
+
"step": 13500
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 5.924672027084215,
|
| 445 |
+
"grad_norm": 2.5954926013946533,
|
| 446 |
+
"learning_rate": 8.6e-05,
|
| 447 |
+
"loss": 0.9028,
|
| 448 |
+
"step": 14000
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 5.924672027084215,
|
| 452 |
+
"eval_accuracy": 0.8231700035983244,
|
| 453 |
+
"eval_loss": 0.8471564054489136,
|
| 454 |
+
"eval_runtime": 260.6102,
|
| 455 |
+
"eval_samples_per_second": 72.511,
|
| 456 |
+
"eval_steps_per_second": 2.268,
|
| 457 |
+
"step": 14000
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 6.136267456622937,
|
| 461 |
+
"grad_norm": 2.6153945922851562,
|
| 462 |
+
"learning_rate": 8.55e-05,
|
| 463 |
+
"loss": 0.8881,
|
| 464 |
+
"step": 14500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 6.136267456622937,
|
| 468 |
+
"eval_accuracy": 0.8229755783030882,
|
| 469 |
+
"eval_loss": 0.8483458161354065,
|
| 470 |
+
"eval_runtime": 260.6741,
|
| 471 |
+
"eval_samples_per_second": 72.493,
|
| 472 |
+
"eval_steps_per_second": 2.267,
|
| 473 |
+
"step": 14500
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 6.347862886161659,
|
| 477 |
+
"grad_norm": 2.49493408203125,
|
| 478 |
+
"learning_rate": 8.5e-05,
|
| 479 |
+
"loss": 0.8925,
|
| 480 |
+
"step": 15000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 6.347862886161659,
|
| 484 |
+
"eval_accuracy": 0.8240020605106504,
|
| 485 |
+
"eval_loss": 0.8421888947486877,
|
| 486 |
+
"eval_runtime": 260.6914,
|
| 487 |
+
"eval_samples_per_second": 72.488,
|
| 488 |
+
"eval_steps_per_second": 2.267,
|
| 489 |
+
"step": 15000
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 6.559458315700381,
|
| 493 |
+
"grad_norm": 2.2969086170196533,
|
| 494 |
+
"learning_rate": 8.450000000000001e-05,
|
| 495 |
+
"loss": 0.8837,
|
| 496 |
+
"step": 15500
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 6.559458315700381,
|
| 500 |
+
"eval_accuracy": 0.8250350160210288,
|
| 501 |
+
"eval_loss": 0.8379595875740051,
|
| 502 |
+
"eval_runtime": 260.8836,
|
| 503 |
+
"eval_samples_per_second": 72.435,
|
| 504 |
+
"eval_steps_per_second": 2.265,
|
| 505 |
+
"step": 15500
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 6.771053745239103,
|
| 509 |
+
"grad_norm": 2.4784414768218994,
|
| 510 |
+
"learning_rate": 8.4e-05,
|
| 511 |
+
"loss": 0.8821,
|
| 512 |
+
"step": 16000
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 6.771053745239103,
|
| 516 |
+
"eval_accuracy": 0.8252737240886805,
|
| 517 |
+
"eval_loss": 0.8320221304893494,
|
| 518 |
+
"eval_runtime": 261.1567,
|
| 519 |
+
"eval_samples_per_second": 72.359,
|
| 520 |
+
"eval_steps_per_second": 2.263,
|
| 521 |
+
"step": 16000
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 6.9826491747778245,
|
| 525 |
+
"grad_norm": 2.628394603729248,
|
| 526 |
+
"learning_rate": 8.35e-05,
|
| 527 |
+
"loss": 0.8791,
|
| 528 |
+
"step": 16500
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 6.9826491747778245,
|
| 532 |
+
"eval_accuracy": 0.8262492314392581,
|
| 533 |
+
"eval_loss": 0.8314688801765442,
|
| 534 |
+
"eval_runtime": 261.3176,
|
| 535 |
+
"eval_samples_per_second": 72.314,
|
| 536 |
+
"eval_steps_per_second": 2.262,
|
| 537 |
+
"step": 16500
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 7.194244604316546,
|
| 541 |
+
"grad_norm": 2.6256425380706787,
|
| 542 |
+
"learning_rate": 8.3e-05,
|
| 543 |
+
"loss": 0.8665,
|
| 544 |
+
"step": 17000
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 7.194244604316546,
|
| 548 |
+
"eval_accuracy": 0.8275952388580949,
|
| 549 |
+
"eval_loss": 0.8231970071792603,
|
| 550 |
+
"eval_runtime": 260.9874,
|
| 551 |
+
"eval_samples_per_second": 72.406,
|
| 552 |
+
"eval_steps_per_second": 2.264,
|
| 553 |
+
"step": 17000
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 7.405840033855268,
|
| 557 |
+
"grad_norm": 2.7044148445129395,
|
| 558 |
+
"learning_rate": 8.25e-05,
|
| 559 |
+
"loss": 0.8575,
|
| 560 |
+
"step": 17500
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 7.405840033855268,
|
| 564 |
+
"eval_accuracy": 0.827272144082883,
|
| 565 |
+
"eval_loss": 0.8277395963668823,
|
| 566 |
+
"eval_runtime": 260.9238,
|
| 567 |
+
"eval_samples_per_second": 72.423,
|
| 568 |
+
"eval_steps_per_second": 2.265,
|
| 569 |
+
"step": 17500
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 7.61743546339399,
|
| 573 |
+
"grad_norm": 2.6002700328826904,
|
| 574 |
+
"learning_rate": 8.2e-05,
|
| 575 |
+
"loss": 0.8604,
|
| 576 |
+
"step": 18000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 7.61743546339399,
|
| 580 |
+
"eval_accuracy": 0.8280005094263907,
|
| 581 |
+
"eval_loss": 0.8207961916923523,
|
| 582 |
+
"eval_runtime": 260.4739,
|
| 583 |
+
"eval_samples_per_second": 72.549,
|
| 584 |
+
"eval_steps_per_second": 2.269,
|
| 585 |
+
"step": 18000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 7.829030892932713,
|
| 589 |
+
"grad_norm": 2.5834431648254395,
|
| 590 |
+
"learning_rate": 8.15e-05,
|
| 591 |
+
"loss": 0.8607,
|
| 592 |
+
"step": 18500
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 7.829030892932713,
|
| 596 |
+
"eval_accuracy": 0.8286160780694416,
|
| 597 |
+
"eval_loss": 0.8186063170433044,
|
| 598 |
+
"eval_runtime": 260.9354,
|
| 599 |
+
"eval_samples_per_second": 72.42,
|
| 600 |
+
"eval_steps_per_second": 2.265,
|
| 601 |
+
"step": 18500
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 8.040626322471434,
|
| 605 |
+
"grad_norm": 2.450000286102295,
|
| 606 |
+
"learning_rate": 8.1e-05,
|
| 607 |
+
"loss": 0.8533,
|
| 608 |
+
"step": 19000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 8.040626322471434,
|
| 612 |
+
"eval_accuracy": 0.8295623170703325,
|
| 613 |
+
"eval_loss": 0.8106991052627563,
|
| 614 |
+
"eval_runtime": 260.8924,
|
| 615 |
+
"eval_samples_per_second": 72.432,
|
| 616 |
+
"eval_steps_per_second": 2.265,
|
| 617 |
+
"step": 19000
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 8.252221752010156,
|
| 621 |
+
"grad_norm": 2.3678555488586426,
|
| 622 |
+
"learning_rate": 8.05e-05,
|
| 623 |
+
"loss": 0.8405,
|
| 624 |
+
"step": 19500
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 8.252221752010156,
|
| 628 |
+
"eval_accuracy": 0.8299051887495135,
|
| 629 |
+
"eval_loss": 0.810931384563446,
|
| 630 |
+
"eval_runtime": 260.8981,
|
| 631 |
+
"eval_samples_per_second": 72.431,
|
| 632 |
+
"eval_steps_per_second": 2.265,
|
| 633 |
+
"step": 19500
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 8.463817181548878,
|
| 637 |
+
"grad_norm": 2.7959389686584473,
|
| 638 |
+
"learning_rate": 8e-05,
|
| 639 |
+
"loss": 0.8354,
|
| 640 |
+
"step": 20000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 8.463817181548878,
|
| 644 |
+
"eval_accuracy": 0.8304909138003899,
|
| 645 |
+
"eval_loss": 0.8072193264961243,
|
| 646 |
+
"eval_runtime": 261.9921,
|
| 647 |
+
"eval_samples_per_second": 72.128,
|
| 648 |
+
"eval_steps_per_second": 2.256,
|
| 649 |
+
"step": 20000
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 8.6754126110876,
|
| 653 |
+
"grad_norm": 2.338129997253418,
|
| 654 |
+
"learning_rate": 7.950000000000001e-05,
|
| 655 |
+
"loss": 0.8426,
|
| 656 |
+
"step": 20500
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 8.6754126110876,
|
| 660 |
+
"eval_accuracy": 0.8310040911785016,
|
| 661 |
+
"eval_loss": 0.8057392239570618,
|
| 662 |
+
"eval_runtime": 260.6048,
|
| 663 |
+
"eval_samples_per_second": 72.512,
|
| 664 |
+
"eval_steps_per_second": 2.268,
|
| 665 |
+
"step": 20500
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 8.887008040626322,
|
| 669 |
+
"grad_norm": 2.18009090423584,
|
| 670 |
+
"learning_rate": 7.900000000000001e-05,
|
| 671 |
+
"loss": 0.8349,
|
| 672 |
+
"step": 21000
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 8.887008040626322,
|
| 676 |
+
"eval_accuracy": 0.8315544812495695,
|
| 677 |
+
"eval_loss": 0.7978902459144592,
|
| 678 |
+
"eval_runtime": 266.29,
|
| 679 |
+
"eval_samples_per_second": 70.964,
|
| 680 |
+
"eval_steps_per_second": 2.219,
|
| 681 |
+
"step": 21000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 9.098603470165044,
|
| 685 |
+
"grad_norm": 2.4883456230163574,
|
| 686 |
+
"learning_rate": 7.850000000000001e-05,
|
| 687 |
+
"loss": 0.8358,
|
| 688 |
+
"step": 21500
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 9.098603470165044,
|
| 692 |
+
"eval_accuracy": 0.8323593887562322,
|
| 693 |
+
"eval_loss": 0.7970295548439026,
|
| 694 |
+
"eval_runtime": 263.7984,
|
| 695 |
+
"eval_samples_per_second": 71.634,
|
| 696 |
+
"eval_steps_per_second": 2.24,
|
| 697 |
+
"step": 21500
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 9.310198899703767,
|
| 701 |
+
"grad_norm": 2.4879238605499268,
|
| 702 |
+
"learning_rate": 7.800000000000001e-05,
|
| 703 |
+
"loss": 0.8206,
|
| 704 |
+
"step": 22000
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 9.310198899703767,
|
| 708 |
+
"eval_accuracy": 0.8331990692449651,
|
| 709 |
+
"eval_loss": 0.7973175048828125,
|
| 710 |
+
"eval_runtime": 267.0614,
|
| 711 |
+
"eval_samples_per_second": 70.759,
|
| 712 |
+
"eval_steps_per_second": 2.213,
|
| 713 |
+
"step": 22000
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 9.52179432924249,
|
| 717 |
+
"grad_norm": 2.8056328296661377,
|
| 718 |
+
"learning_rate": 7.75e-05,
|
| 719 |
+
"loss": 0.8194,
|
| 720 |
+
"step": 22500
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 9.52179432924249,
|
| 724 |
+
"eval_accuracy": 0.8330543390157401,
|
| 725 |
+
"eval_loss": 0.7971208095550537,
|
| 726 |
+
"eval_runtime": 262.488,
|
| 727 |
+
"eval_samples_per_second": 71.992,
|
| 728 |
+
"eval_steps_per_second": 2.252,
|
| 729 |
+
"step": 22500
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 9.733389758781211,
|
| 733 |
+
"grad_norm": 2.286165714263916,
|
| 734 |
+
"learning_rate": 7.7e-05,
|
| 735 |
+
"loss": 0.824,
|
| 736 |
+
"step": 23000
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 9.733389758781211,
|
| 740 |
+
"eval_accuracy": 0.8331955207712376,
|
| 741 |
+
"eval_loss": 0.789832353591919,
|
| 742 |
+
"eval_runtime": 260.7374,
|
| 743 |
+
"eval_samples_per_second": 72.475,
|
| 744 |
+
"eval_steps_per_second": 2.267,
|
| 745 |
+
"step": 23000
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 9.944985188319933,
|
| 749 |
+
"grad_norm": 2.6393661499023438,
|
| 750 |
+
"learning_rate": 7.65e-05,
|
| 751 |
+
"loss": 0.8178,
|
| 752 |
+
"step": 23500
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 9.944985188319933,
|
| 756 |
+
"eval_accuracy": 0.8337563908619574,
|
| 757 |
+
"eval_loss": 0.7869353294372559,
|
| 758 |
+
"eval_runtime": 261.6316,
|
| 759 |
+
"eval_samples_per_second": 72.228,
|
| 760 |
+
"eval_steps_per_second": 2.259,
|
| 761 |
+
"step": 23500
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 10.156580617858655,
|
| 765 |
+
"grad_norm": 2.399764060974121,
|
| 766 |
+
"learning_rate": 7.6e-05,
|
| 767 |
+
"loss": 0.8042,
|
| 768 |
+
"step": 24000
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 10.156580617858655,
|
| 772 |
+
"eval_accuracy": 0.8345873580205752,
|
| 773 |
+
"eval_loss": 0.7825269103050232,
|
| 774 |
+
"eval_runtime": 265.2886,
|
| 775 |
+
"eval_samples_per_second": 71.232,
|
| 776 |
+
"eval_steps_per_second": 2.228,
|
| 777 |
+
"step": 24000
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 10.368176047397377,
|
| 781 |
+
"grad_norm": 2.473830461502075,
|
| 782 |
+
"learning_rate": 7.55e-05,
|
| 783 |
+
"loss": 0.8074,
|
| 784 |
+
"step": 24500
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 10.368176047397377,
|
| 788 |
+
"eval_accuracy": 0.8340295887180998,
|
| 789 |
+
"eval_loss": 0.7838293313980103,
|
| 790 |
+
"eval_runtime": 268.7934,
|
| 791 |
+
"eval_samples_per_second": 70.303,
|
| 792 |
+
"eval_steps_per_second": 2.199,
|
| 793 |
+
"step": 24500
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 10.579771476936099,
|
| 797 |
+
"grad_norm": 2.013901948928833,
|
| 798 |
+
"learning_rate": 7.500000000000001e-05,
|
| 799 |
+
"loss": 0.8119,
|
| 800 |
+
"step": 25000
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 10.579771476936099,
|
| 804 |
+
"eval_accuracy": 0.8350909261154785,
|
| 805 |
+
"eval_loss": 0.7770436406135559,
|
| 806 |
+
"eval_runtime": 266.5797,
|
| 807 |
+
"eval_samples_per_second": 70.887,
|
| 808 |
+
"eval_steps_per_second": 2.217,
|
| 809 |
+
"step": 25000
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 10.79136690647482,
|
| 813 |
+
"grad_norm": 2.4371135234832764,
|
| 814 |
+
"learning_rate": 7.450000000000001e-05,
|
| 815 |
+
"loss": 0.8021,
|
| 816 |
+
"step": 25500
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 10.79136690647482,
|
| 820 |
+
"eval_accuracy": 0.8355361070660176,
|
| 821 |
+
"eval_loss": 0.7797753810882568,
|
| 822 |
+
"eval_runtime": 263.0347,
|
| 823 |
+
"eval_samples_per_second": 71.842,
|
| 824 |
+
"eval_steps_per_second": 2.247,
|
| 825 |
+
"step": 25500
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 11.002962336013542,
|
| 829 |
+
"grad_norm": 2.2847490310668945,
|
| 830 |
+
"learning_rate": 7.4e-05,
|
| 831 |
+
"loss": 0.7981,
|
| 832 |
+
"step": 26000
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 11.002962336013542,
|
| 836 |
+
"eval_accuracy": 0.8359570415218256,
|
| 837 |
+
"eval_loss": 0.779441773891449,
|
| 838 |
+
"eval_runtime": 268.5697,
|
| 839 |
+
"eval_samples_per_second": 70.362,
|
| 840 |
+
"eval_steps_per_second": 2.201,
|
| 841 |
+
"step": 26000
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 11.214557765552264,
|
| 845 |
+
"grad_norm": 2.7268359661102295,
|
| 846 |
+
"learning_rate": 7.35e-05,
|
| 847 |
+
"loss": 0.7903,
|
| 848 |
+
"step": 26500
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 11.214557765552264,
|
| 852 |
+
"eval_accuracy": 0.8356099402770645,
|
| 853 |
+
"eval_loss": 0.7818348407745361,
|
| 854 |
+
"eval_runtime": 266.2476,
|
| 855 |
+
"eval_samples_per_second": 70.975,
|
| 856 |
+
"eval_steps_per_second": 2.22,
|
| 857 |
+
"step": 26500
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 11.426153195090986,
|
| 861 |
+
"grad_norm": 2.162554979324341,
|
| 862 |
+
"learning_rate": 7.3e-05,
|
| 863 |
+
"loss": 0.79,
|
| 864 |
+
"step": 27000
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 11.426153195090986,
|
| 868 |
+
"eval_accuracy": 0.8370433109128258,
|
| 869 |
+
"eval_loss": 0.7704750299453735,
|
| 870 |
+
"eval_runtime": 266.2241,
|
| 871 |
+
"eval_samples_per_second": 70.982,
|
| 872 |
+
"eval_steps_per_second": 2.22,
|
| 873 |
+
"step": 27000
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 11.637748624629708,
|
| 877 |
+
"grad_norm": 2.788860321044922,
|
| 878 |
+
"learning_rate": 7.25e-05,
|
| 879 |
+
"loss": 0.7905,
|
| 880 |
+
"step": 27500
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 11.637748624629708,
|
| 884 |
+
"eval_accuracy": 0.8371296992285593,
|
| 885 |
+
"eval_loss": 0.7727912664413452,
|
| 886 |
+
"eval_runtime": 273.499,
|
| 887 |
+
"eval_samples_per_second": 69.093,
|
| 888 |
+
"eval_steps_per_second": 2.161,
|
| 889 |
+
"step": 27500
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 11.84934405416843,
|
| 893 |
+
"grad_norm": 2.227642774581909,
|
| 894 |
+
"learning_rate": 7.2e-05,
|
| 895 |
+
"loss": 0.7926,
|
| 896 |
+
"step": 28000
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 11.84934405416843,
|
| 900 |
+
"eval_accuracy": 0.8374719388838708,
|
| 901 |
+
"eval_loss": 0.7698901295661926,
|
| 902 |
+
"eval_runtime": 263.3039,
|
| 903 |
+
"eval_samples_per_second": 71.769,
|
| 904 |
+
"eval_steps_per_second": 2.245,
|
| 905 |
+
"step": 28000
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 12.060939483707152,
|
| 909 |
+
"grad_norm": 2.4474525451660156,
|
| 910 |
+
"learning_rate": 7.15e-05,
|
| 911 |
+
"loss": 0.7903,
|
| 912 |
+
"step": 28500
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 12.060939483707152,
|
| 916 |
+
"eval_accuracy": 0.8376879218674613,
|
| 917 |
+
"eval_loss": 0.7695074081420898,
|
| 918 |
+
"eval_runtime": 261.3712,
|
| 919 |
+
"eval_samples_per_second": 72.299,
|
| 920 |
+
"eval_steps_per_second": 2.261,
|
| 921 |
+
"step": 28500
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 12.272534913245874,
|
| 925 |
+
"grad_norm": 2.3459694385528564,
|
| 926 |
+
"learning_rate": 7.1e-05,
|
| 927 |
+
"loss": 0.7798,
|
| 928 |
+
"step": 29000
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 12.272534913245874,
|
| 932 |
+
"eval_accuracy": 0.8386430385584847,
|
| 933 |
+
"eval_loss": 0.7657772898674011,
|
| 934 |
+
"eval_runtime": 261.1287,
|
| 935 |
+
"eval_samples_per_second": 72.367,
|
| 936 |
+
"eval_steps_per_second": 2.263,
|
| 937 |
+
"step": 29000
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 12.484130342784596,
|
| 941 |
+
"grad_norm": 2.8267855644226074,
|
| 942 |
+
"learning_rate": 7.05e-05,
|
| 943 |
+
"loss": 0.7824,
|
| 944 |
+
"step": 29500
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 12.484130342784596,
|
| 948 |
+
"eval_accuracy": 0.83865240976173,
|
| 949 |
+
"eval_loss": 0.7589637041091919,
|
| 950 |
+
"eval_runtime": 261.5078,
|
| 951 |
+
"eval_samples_per_second": 72.262,
|
| 952 |
+
"eval_steps_per_second": 2.26,
|
| 953 |
+
"step": 29500
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 12.695725772323318,
|
| 957 |
+
"grad_norm": 2.4693596363067627,
|
| 958 |
+
"learning_rate": 7e-05,
|
| 959 |
+
"loss": 0.771,
|
| 960 |
+
"step": 30000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 12.695725772323318,
|
| 964 |
+
"eval_accuracy": 0.8388216056579841,
|
| 965 |
+
"eval_loss": 0.7633172869682312,
|
| 966 |
+
"eval_runtime": 261.1053,
|
| 967 |
+
"eval_samples_per_second": 72.373,
|
| 968 |
+
"eval_steps_per_second": 2.263,
|
| 969 |
+
"step": 30000
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 12.90732120186204,
|
| 973 |
+
"grad_norm": 2.1850833892822266,
|
| 974 |
+
"learning_rate": 6.95e-05,
|
| 975 |
+
"loss": 0.7764,
|
| 976 |
+
"step": 30500
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 12.90732120186204,
|
| 980 |
+
"eval_accuracy": 0.838965407496659,
|
| 981 |
+
"eval_loss": 0.7610173225402832,
|
| 982 |
+
"eval_runtime": 261.8408,
|
| 983 |
+
"eval_samples_per_second": 72.17,
|
| 984 |
+
"eval_steps_per_second": 2.257,
|
| 985 |
+
"step": 30500
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 13.118916631400761,
|
| 989 |
+
"grad_norm": 2.372281312942505,
|
| 990 |
+
"learning_rate": 6.9e-05,
|
| 991 |
+
"loss": 0.7769,
|
| 992 |
+
"step": 31000
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 13.118916631400761,
|
| 996 |
+
"eval_accuracy": 0.8399309188023576,
|
| 997 |
+
"eval_loss": 0.7513373494148254,
|
| 998 |
+
"eval_runtime": 261.812,
|
| 999 |
+
"eval_samples_per_second": 72.178,
|
| 1000 |
+
"eval_steps_per_second": 2.257,
|
| 1001 |
+
"step": 31000
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 13.330512060939483,
|
| 1005 |
+
"grad_norm": 2.3523917198181152,
|
| 1006 |
+
"learning_rate": 6.850000000000001e-05,
|
| 1007 |
+
"loss": 0.7571,
|
| 1008 |
+
"step": 31500
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 13.330512060939483,
|
| 1012 |
+
"eval_accuracy": 0.8400002567389975,
|
| 1013 |
+
"eval_loss": 0.7555217146873474,
|
| 1014 |
+
"eval_runtime": 261.9857,
|
| 1015 |
+
"eval_samples_per_second": 72.13,
|
| 1016 |
+
"eval_steps_per_second": 2.256,
|
| 1017 |
+
"step": 31500
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 13.542107490478205,
|
| 1021 |
+
"grad_norm": 2.5546875,
|
| 1022 |
+
"learning_rate": 6.800000000000001e-05,
|
| 1023 |
+
"loss": 0.7711,
|
| 1024 |
+
"step": 32000
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 13.542107490478205,
|
| 1028 |
+
"eval_accuracy": 0.8401856806369851,
|
| 1029 |
+
"eval_loss": 0.7534090876579285,
|
| 1030 |
+
"eval_runtime": 261.8701,
|
| 1031 |
+
"eval_samples_per_second": 72.162,
|
| 1032 |
+
"eval_steps_per_second": 2.257,
|
| 1033 |
+
"step": 32000
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 13.753702920016927,
|
| 1037 |
+
"grad_norm": 2.729142904281616,
|
| 1038 |
+
"learning_rate": 6.750000000000001e-05,
|
| 1039 |
+
"loss": 0.7643,
|
| 1040 |
+
"step": 32500
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 13.753702920016927,
|
| 1044 |
+
"eval_accuracy": 0.841193752527165,
|
| 1045 |
+
"eval_loss": 0.7479578256607056,
|
| 1046 |
+
"eval_runtime": 261.4353,
|
| 1047 |
+
"eval_samples_per_second": 72.282,
|
| 1048 |
+
"eval_steps_per_second": 2.261,
|
| 1049 |
+
"step": 32500
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 13.965298349555649,
|
| 1053 |
+
"grad_norm": 2.3321564197540283,
|
| 1054 |
+
"learning_rate": 6.7e-05,
|
| 1055 |
+
"loss": 0.7648,
|
| 1056 |
+
"step": 33000
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 13.965298349555649,
|
| 1060 |
+
"eval_accuracy": 0.8406841418969273,
|
| 1061 |
+
"eval_loss": 0.7506685853004456,
|
| 1062 |
+
"eval_runtime": 267.8316,
|
| 1063 |
+
"eval_samples_per_second": 70.556,
|
| 1064 |
+
"eval_steps_per_second": 2.207,
|
| 1065 |
+
"step": 33000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 14.176893779094371,
|
| 1069 |
+
"grad_norm": 2.1938509941101074,
|
| 1070 |
+
"learning_rate": 6.65e-05,
|
| 1071 |
+
"loss": 0.7522,
|
| 1072 |
+
"step": 33500
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 14.176893779094371,
|
| 1076 |
+
"eval_accuracy": 0.8420869264352184,
|
| 1077 |
+
"eval_loss": 0.7437397837638855,
|
| 1078 |
+
"eval_runtime": 265.5397,
|
| 1079 |
+
"eval_samples_per_second": 71.164,
|
| 1080 |
+
"eval_steps_per_second": 2.226,
|
| 1081 |
+
"step": 33500
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 14.388489208633093,
|
| 1085 |
+
"grad_norm": 2.3408265113830566,
|
| 1086 |
+
"learning_rate": 6.6e-05,
|
| 1087 |
+
"loss": 0.7545,
|
| 1088 |
+
"step": 34000
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 14.388489208633093,
|
| 1092 |
+
"eval_accuracy": 0.8420721318818438,
|
| 1093 |
+
"eval_loss": 0.7433295845985413,
|
| 1094 |
+
"eval_runtime": 279.4181,
|
| 1095 |
+
"eval_samples_per_second": 67.63,
|
| 1096 |
+
"eval_steps_per_second": 2.115,
|
| 1097 |
+
"step": 34000
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 14.600084638171815,
|
| 1101 |
+
"grad_norm": 2.3642425537109375,
|
| 1102 |
+
"learning_rate": 6.55e-05,
|
| 1103 |
+
"loss": 0.7523,
|
| 1104 |
+
"step": 34500
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 14.600084638171815,
|
| 1108 |
+
"eval_accuracy": 0.841832391549054,
|
| 1109 |
+
"eval_loss": 0.7465565800666809,
|
| 1110 |
+
"eval_runtime": 278.6488,
|
| 1111 |
+
"eval_samples_per_second": 67.817,
|
| 1112 |
+
"eval_steps_per_second": 2.121,
|
| 1113 |
+
"step": 34500
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 14.811680067710537,
|
| 1117 |
+
"grad_norm": 2.3556783199310303,
|
| 1118 |
+
"learning_rate": 6.500000000000001e-05,
|
| 1119 |
+
"loss": 0.7496,
|
| 1120 |
+
"step": 35000
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"epoch": 14.811680067710537,
|
| 1124 |
+
"eval_accuracy": 0.8428309818822357,
|
| 1125 |
+
"eval_loss": 0.7405665516853333,
|
| 1126 |
+
"eval_runtime": 276.2738,
|
| 1127 |
+
"eval_samples_per_second": 68.4,
|
| 1128 |
+
"eval_steps_per_second": 2.139,
|
| 1129 |
+
"step": 35000
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 15.023275497249259,
|
| 1133 |
+
"grad_norm": 2.837651491165161,
|
| 1134 |
+
"learning_rate": 6.450000000000001e-05,
|
| 1135 |
+
"loss": 0.7533,
|
| 1136 |
+
"step": 35500
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 15.023275497249259,
|
| 1140 |
+
"eval_accuracy": 0.8429478388054593,
|
| 1141 |
+
"eval_loss": 0.7408010959625244,
|
| 1142 |
+
"eval_runtime": 282.8574,
|
| 1143 |
+
"eval_samples_per_second": 66.808,
|
| 1144 |
+
"eval_steps_per_second": 2.089,
|
| 1145 |
+
"step": 35500
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 15.23487092678798,
|
| 1149 |
+
"grad_norm": 2.484907865524292,
|
| 1150 |
+
"learning_rate": 6.400000000000001e-05,
|
| 1151 |
+
"loss": 0.741,
|
| 1152 |
+
"step": 36000
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 15.23487092678798,
|
| 1156 |
+
"eval_accuracy": 0.8431191814913817,
|
| 1157 |
+
"eval_loss": 0.7387997508049011,
|
| 1158 |
+
"eval_runtime": 265.4939,
|
| 1159 |
+
"eval_samples_per_second": 71.177,
|
| 1160 |
+
"eval_steps_per_second": 2.226,
|
| 1161 |
+
"step": 36000
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 15.446466356326704,
|
| 1165 |
+
"grad_norm": 2.2897565364837646,
|
| 1166 |
+
"learning_rate": 6.35e-05,
|
| 1167 |
+
"loss": 0.739,
|
| 1168 |
+
"step": 36500
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 15.446466356326704,
|
| 1172 |
+
"eval_accuracy": 0.8429932212483634,
|
| 1173 |
+
"eval_loss": 0.7370153069496155,
|
| 1174 |
+
"eval_runtime": 266.1635,
|
| 1175 |
+
"eval_samples_per_second": 70.998,
|
| 1176 |
+
"eval_steps_per_second": 2.22,
|
| 1177 |
+
"step": 36500
|
| 1178 |
+
},
|
| 1179 |
+
{
|
| 1180 |
+
"epoch": 15.658061785865426,
|
| 1181 |
+
"grad_norm": 2.395829439163208,
|
| 1182 |
+
"learning_rate": 6.3e-05,
|
| 1183 |
+
"loss": 0.7362,
|
| 1184 |
+
"step": 37000
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 15.658061785865426,
|
| 1188 |
+
"eval_accuracy": 0.8434715599093532,
|
| 1189 |
+
"eval_loss": 0.7342710494995117,
|
| 1190 |
+
"eval_runtime": 260.2141,
|
| 1191 |
+
"eval_samples_per_second": 72.621,
|
| 1192 |
+
"eval_steps_per_second": 2.271,
|
| 1193 |
+
"step": 37000
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 15.869657215404148,
|
| 1197 |
+
"grad_norm": 2.2993245124816895,
|
| 1198 |
+
"learning_rate": 6.25e-05,
|
| 1199 |
+
"loss": 0.7345,
|
| 1200 |
+
"step": 37500
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 15.869657215404148,
|
| 1204 |
+
"eval_accuracy": 0.8440801185874258,
|
| 1205 |
+
"eval_loss": 0.7322931885719299,
|
| 1206 |
+
"eval_runtime": 260.5377,
|
| 1207 |
+
"eval_samples_per_second": 72.531,
|
| 1208 |
+
"eval_steps_per_second": 2.268,
|
| 1209 |
+
"step": 37500
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 16.081252644942868,
|
| 1213 |
+
"grad_norm": 2.0374865531921387,
|
| 1214 |
+
"learning_rate": 6.2e-05,
|
| 1215 |
+
"loss": 0.734,
|
| 1216 |
+
"step": 38000
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 16.081252644942868,
|
| 1220 |
+
"eval_accuracy": 0.8445575827804235,
|
| 1221 |
+
"eval_loss": 0.7281063795089722,
|
| 1222 |
+
"eval_runtime": 261.0336,
|
| 1223 |
+
"eval_samples_per_second": 72.393,
|
| 1224 |
+
"eval_steps_per_second": 2.264,
|
| 1225 |
+
"step": 38000
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 16.29284807448159,
|
| 1229 |
+
"grad_norm": 1.9428036212921143,
|
| 1230 |
+
"learning_rate": 6.15e-05,
|
| 1231 |
+
"loss": 0.7273,
|
| 1232 |
+
"step": 38500
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 16.29284807448159,
|
| 1236 |
+
"eval_accuracy": 0.8445456344326528,
|
| 1237 |
+
"eval_loss": 0.7325382828712463,
|
| 1238 |
+
"eval_runtime": 261.464,
|
| 1239 |
+
"eval_samples_per_second": 72.274,
|
| 1240 |
+
"eval_steps_per_second": 2.26,
|
| 1241 |
+
"step": 38500
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 16.504443504020312,
|
| 1245 |
+
"grad_norm": 2.049518346786499,
|
| 1246 |
+
"learning_rate": 6.1e-05,
|
| 1247 |
+
"loss": 0.7281,
|
| 1248 |
+
"step": 39000
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 16.504443504020312,
|
| 1252 |
+
"eval_accuracy": 0.8447958861444306,
|
| 1253 |
+
"eval_loss": 0.7262031435966492,
|
| 1254 |
+
"eval_runtime": 261.1414,
|
| 1255 |
+
"eval_samples_per_second": 72.363,
|
| 1256 |
+
"eval_steps_per_second": 2.263,
|
| 1257 |
+
"step": 39000
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 16.716038933559034,
|
| 1261 |
+
"grad_norm": 2.4844846725463867,
|
| 1262 |
+
"learning_rate": 6.05e-05,
|
| 1263 |
+
"loss": 0.7325,
|
| 1264 |
+
"step": 39500
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 16.716038933559034,
|
| 1268 |
+
"eval_accuracy": 0.8454549752513528,
|
| 1269 |
+
"eval_loss": 0.7258022427558899,
|
| 1270 |
+
"eval_runtime": 261.1057,
|
| 1271 |
+
"eval_samples_per_second": 72.373,
|
| 1272 |
+
"eval_steps_per_second": 2.263,
|
| 1273 |
+
"step": 39500
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 16.927634363097756,
|
| 1277 |
+
"grad_norm": 2.2778096199035645,
|
| 1278 |
+
"learning_rate": 6e-05,
|
| 1279 |
+
"loss": 0.7363,
|
| 1280 |
+
"step": 40000
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 16.927634363097756,
|
| 1284 |
+
"eval_accuracy": 0.8453596619012534,
|
| 1285 |
+
"eval_loss": 0.7246570587158203,
|
| 1286 |
+
"eval_runtime": 261.1612,
|
| 1287 |
+
"eval_samples_per_second": 72.358,
|
| 1288 |
+
"eval_steps_per_second": 2.263,
|
| 1289 |
+
"step": 40000
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 17.139229792636478,
|
| 1293 |
+
"grad_norm": 2.290127992630005,
|
| 1294 |
+
"learning_rate": 5.95e-05,
|
| 1295 |
+
"loss": 0.7189,
|
| 1296 |
+
"step": 40500
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 17.139229792636478,
|
| 1300 |
+
"eval_accuracy": 0.8452580795667168,
|
| 1301 |
+
"eval_loss": 0.7274061441421509,
|
| 1302 |
+
"eval_runtime": 260.9127,
|
| 1303 |
+
"eval_samples_per_second": 72.427,
|
| 1304 |
+
"eval_steps_per_second": 2.265,
|
| 1305 |
+
"step": 40500
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 17.3508252221752,
|
| 1309 |
+
"grad_norm": 2.1813712120056152,
|
| 1310 |
+
"learning_rate": 5.9e-05,
|
| 1311 |
+
"loss": 0.7139,
|
| 1312 |
+
"step": 41000
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 17.3508252221752,
|
| 1316 |
+
"eval_accuracy": 0.8454752596859075,
|
| 1317 |
+
"eval_loss": 0.7260879278182983,
|
| 1318 |
+
"eval_runtime": 260.8824,
|
| 1319 |
+
"eval_samples_per_second": 72.435,
|
| 1320 |
+
"eval_steps_per_second": 2.265,
|
| 1321 |
+
"step": 41000
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 17.56242065171392,
|
| 1325 |
+
"grad_norm": 2.2149229049682617,
|
| 1326 |
+
"learning_rate": 5.85e-05,
|
| 1327 |
+
"loss": 0.7194,
|
| 1328 |
+
"step": 41500
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 17.56242065171392,
|
| 1332 |
+
"eval_accuracy": 0.8460950844980895,
|
| 1333 |
+
"eval_loss": 0.719237208366394,
|
| 1334 |
+
"eval_runtime": 261.2966,
|
| 1335 |
+
"eval_samples_per_second": 72.32,
|
| 1336 |
+
"eval_steps_per_second": 2.262,
|
| 1337 |
+
"step": 41500
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 17.774016081252643,
|
| 1341 |
+
"grad_norm": 2.15328049659729,
|
| 1342 |
+
"learning_rate": 5.8e-05,
|
| 1343 |
+
"loss": 0.7193,
|
| 1344 |
+
"step": 42000
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"epoch": 17.774016081252643,
|
| 1348 |
+
"eval_accuracy": 0.84683571242145,
|
| 1349 |
+
"eval_loss": 0.7155909538269043,
|
| 1350 |
+
"eval_runtime": 264.1513,
|
| 1351 |
+
"eval_samples_per_second": 71.539,
|
| 1352 |
+
"eval_steps_per_second": 2.237,
|
| 1353 |
+
"step": 42000
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 17.985611510791365,
|
| 1357 |
+
"grad_norm": 2.626013994216919,
|
| 1358 |
+
"learning_rate": 5.7499999999999995e-05,
|
| 1359 |
+
"loss": 0.7229,
|
| 1360 |
+
"step": 42500
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 17.985611510791365,
|
| 1364 |
+
"eval_accuracy": 0.8466394382574675,
|
| 1365 |
+
"eval_loss": 0.717660129070282,
|
| 1366 |
+
"eval_runtime": 264.2125,
|
| 1367 |
+
"eval_samples_per_second": 71.522,
|
| 1368 |
+
"eval_steps_per_second": 2.237,
|
| 1369 |
+
"step": 42500
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 18.197206940330087,
|
| 1373 |
+
"grad_norm": 2.2431325912475586,
|
| 1374 |
+
"learning_rate": 5.6999999999999996e-05,
|
| 1375 |
+
"loss": 0.7178,
|
| 1376 |
+
"step": 43000
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 18.197206940330087,
|
| 1380 |
+
"eval_accuracy": 0.8470451753896858,
|
| 1381 |
+
"eval_loss": 0.7178626656532288,
|
| 1382 |
+
"eval_runtime": 261.814,
|
| 1383 |
+
"eval_samples_per_second": 72.177,
|
| 1384 |
+
"eval_steps_per_second": 2.257,
|
| 1385 |
+
"step": 43000
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 18.408802369868813,
|
| 1389 |
+
"grad_norm": 2.2828872203826904,
|
| 1390 |
+
"learning_rate": 5.65e-05,
|
| 1391 |
+
"loss": 0.7109,
|
| 1392 |
+
"step": 43500
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 18.408802369868813,
|
| 1396 |
+
"eval_accuracy": 0.8475503883432827,
|
| 1397 |
+
"eval_loss": 0.7156932950019836,
|
| 1398 |
+
"eval_runtime": 261.3176,
|
| 1399 |
+
"eval_samples_per_second": 72.314,
|
| 1400 |
+
"eval_steps_per_second": 2.262,
|
| 1401 |
+
"step": 43500
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 18.620397799407534,
|
| 1405 |
+
"grad_norm": 2.293168067932129,
|
| 1406 |
+
"learning_rate": 5.6000000000000006e-05,
|
| 1407 |
+
"loss": 0.7097,
|
| 1408 |
+
"step": 44000
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 18.620397799407534,
|
| 1412 |
+
"eval_accuracy": 0.8471641618793598,
|
| 1413 |
+
"eval_loss": 0.7158520817756653,
|
| 1414 |
+
"eval_runtime": 264.9783,
|
| 1415 |
+
"eval_samples_per_second": 71.315,
|
| 1416 |
+
"eval_steps_per_second": 2.23,
|
| 1417 |
+
"step": 44000
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 18.831993228946256,
|
| 1421 |
+
"grad_norm": 2.209135055541992,
|
| 1422 |
+
"learning_rate": 5.550000000000001e-05,
|
| 1423 |
+
"loss": 0.7075,
|
| 1424 |
+
"step": 44500
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 18.831993228946256,
|
| 1428 |
+
"eval_accuracy": 0.8479372379494904,
|
| 1429 |
+
"eval_loss": 0.7122641801834106,
|
| 1430 |
+
"eval_runtime": 266.5578,
|
| 1431 |
+
"eval_samples_per_second": 70.893,
|
| 1432 |
+
"eval_steps_per_second": 2.217,
|
| 1433 |
+
"step": 44500
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 19.04358865848498,
|
| 1437 |
+
"grad_norm": 2.8488004207611084,
|
| 1438 |
+
"learning_rate": 5.500000000000001e-05,
|
| 1439 |
+
"loss": 0.6993,
|
| 1440 |
+
"step": 45000
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 19.04358865848498,
|
| 1444 |
+
"eval_accuracy": 0.8484116180173235,
|
| 1445 |
+
"eval_loss": 0.7104758620262146,
|
| 1446 |
+
"eval_runtime": 262.5945,
|
| 1447 |
+
"eval_samples_per_second": 71.963,
|
| 1448 |
+
"eval_steps_per_second": 2.251,
|
| 1449 |
+
"step": 45000
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 19.2551840880237,
|
| 1453 |
+
"grad_norm": 2.4979331493377686,
|
| 1454 |
+
"learning_rate": 5.45e-05,
|
| 1455 |
+
"loss": 0.7026,
|
| 1456 |
+
"step": 45500
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 19.2551840880237,
|
| 1460 |
+
"eval_accuracy": 0.8484528706135355,
|
| 1461 |
+
"eval_loss": 0.710627555847168,
|
| 1462 |
+
"eval_runtime": 263.766,
|
| 1463 |
+
"eval_samples_per_second": 71.643,
|
| 1464 |
+
"eval_steps_per_second": 2.241,
|
| 1465 |
+
"step": 45500
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 19.466779517562422,
|
| 1469 |
+
"grad_norm": 2.259174346923828,
|
| 1470 |
+
"learning_rate": 5.4000000000000005e-05,
|
| 1471 |
+
"loss": 0.6991,
|
| 1472 |
+
"step": 46000
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 19.466779517562422,
|
| 1476 |
+
"eval_accuracy": 0.8491558457182731,
|
| 1477 |
+
"eval_loss": 0.7077752351760864,
|
| 1478 |
+
"eval_runtime": 271.656,
|
| 1479 |
+
"eval_samples_per_second": 69.562,
|
| 1480 |
+
"eval_steps_per_second": 2.176,
|
| 1481 |
+
"step": 46000
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 19.678374947101144,
|
| 1485 |
+
"grad_norm": 2.1358423233032227,
|
| 1486 |
+
"learning_rate": 5.3500000000000006e-05,
|
| 1487 |
+
"loss": 0.6979,
|
| 1488 |
+
"step": 46500
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 19.678374947101144,
|
| 1492 |
+
"eval_accuracy": 0.8489283235752786,
|
| 1493 |
+
"eval_loss": 0.7064626812934875,
|
| 1494 |
+
"eval_runtime": 271.737,
|
| 1495 |
+
"eval_samples_per_second": 69.542,
|
| 1496 |
+
"eval_steps_per_second": 2.175,
|
| 1497 |
+
"step": 46500
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 19.889970376639866,
|
| 1501 |
+
"grad_norm": 2.1546921730041504,
|
| 1502 |
+
"learning_rate": 5.300000000000001e-05,
|
| 1503 |
+
"loss": 0.7006,
|
| 1504 |
+
"step": 47000
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 19.889970376639866,
|
| 1508 |
+
"eval_accuracy": 0.8492702435567641,
|
| 1509 |
+
"eval_loss": 0.7036093473434448,
|
| 1510 |
+
"eval_runtime": 277.9449,
|
| 1511 |
+
"eval_samples_per_second": 67.988,
|
| 1512 |
+
"eval_steps_per_second": 2.126,
|
| 1513 |
+
"step": 47000
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 20.101565806178588,
|
| 1517 |
+
"grad_norm": 2.1608192920684814,
|
| 1518 |
+
"learning_rate": 5.25e-05,
|
| 1519 |
+
"loss": 0.6933,
|
| 1520 |
+
"step": 47500
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 20.101565806178588,
|
| 1524 |
+
"eval_accuracy": 0.8492879788056962,
|
| 1525 |
+
"eval_loss": 0.7073326110839844,
|
| 1526 |
+
"eval_runtime": 264.5416,
|
| 1527 |
+
"eval_samples_per_second": 71.433,
|
| 1528 |
+
"eval_steps_per_second": 2.234,
|
| 1529 |
+
"step": 47500
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 20.31316123571731,
|
| 1533 |
+
"grad_norm": 2.209718704223633,
|
| 1534 |
+
"learning_rate": 5.2000000000000004e-05,
|
| 1535 |
+
"loss": 0.6929,
|
| 1536 |
+
"step": 48000
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 20.31316123571731,
|
| 1540 |
+
"eval_accuracy": 0.849034550282722,
|
| 1541 |
+
"eval_loss": 0.7043500542640686,
|
| 1542 |
+
"eval_runtime": 261.2331,
|
| 1543 |
+
"eval_samples_per_second": 72.338,
|
| 1544 |
+
"eval_steps_per_second": 2.262,
|
| 1545 |
+
"step": 48000
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 20.52475666525603,
|
| 1549 |
+
"grad_norm": 2.2029993534088135,
|
| 1550 |
+
"learning_rate": 5.1500000000000005e-05,
|
| 1551 |
+
"loss": 0.6957,
|
| 1552 |
+
"step": 48500
|
| 1553 |
+
},
|
| 1554 |
+
{
|
| 1555 |
+
"epoch": 20.52475666525603,
|
| 1556 |
+
"eval_accuracy": 0.8498242169829373,
|
| 1557 |
+
"eval_loss": 0.7020756006240845,
|
| 1558 |
+
"eval_runtime": 261.9223,
|
| 1559 |
+
"eval_samples_per_second": 72.147,
|
| 1560 |
+
"eval_steps_per_second": 2.256,
|
| 1561 |
+
"step": 48500
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 20.736352094794753,
|
| 1565 |
+
"grad_norm": 2.0258734226226807,
|
| 1566 |
+
"learning_rate": 5.1000000000000006e-05,
|
| 1567 |
+
"loss": 0.6895,
|
| 1568 |
+
"step": 49000
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 20.736352094794753,
|
| 1572 |
+
"eval_accuracy": 0.8496045816205492,
|
| 1573 |
+
"eval_loss": 0.7028811573982239,
|
| 1574 |
+
"eval_runtime": 261.5838,
|
| 1575 |
+
"eval_samples_per_second": 72.241,
|
| 1576 |
+
"eval_steps_per_second": 2.259,
|
| 1577 |
+
"step": 49000
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 20.947947524333475,
|
| 1581 |
+
"grad_norm": 2.161635637283325,
|
| 1582 |
+
"learning_rate": 5.05e-05,
|
| 1583 |
+
"loss": 0.6939,
|
| 1584 |
+
"step": 49500
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 20.947947524333475,
|
| 1588 |
+
"eval_accuracy": 0.8499337372662576,
|
| 1589 |
+
"eval_loss": 0.7002370953559875,
|
| 1590 |
+
"eval_runtime": 261.979,
|
| 1591 |
+
"eval_samples_per_second": 72.132,
|
| 1592 |
+
"eval_steps_per_second": 2.256,
|
| 1593 |
+
"step": 49500
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 21.159542953872197,
|
| 1597 |
+
"grad_norm": 2.678370475769043,
|
| 1598 |
+
"learning_rate": 5e-05,
|
| 1599 |
+
"loss": 0.6858,
|
| 1600 |
+
"step": 50000
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"epoch": 21.159542953872197,
|
| 1604 |
+
"eval_accuracy": 0.8506112039186475,
|
| 1605 |
+
"eval_loss": 0.6987473964691162,
|
| 1606 |
+
"eval_runtime": 260.5609,
|
| 1607 |
+
"eval_samples_per_second": 72.524,
|
| 1608 |
+
"eval_steps_per_second": 2.268,
|
| 1609 |
+
"step": 50000
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 21.37113838341092,
|
| 1613 |
+
"grad_norm": 3.00466251373291,
|
| 1614 |
+
"learning_rate": 4.9500000000000004e-05,
|
| 1615 |
+
"loss": 0.6799,
|
| 1616 |
+
"step": 50500
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 21.37113838341092,
|
| 1620 |
+
"eval_accuracy": 0.8507862585554932,
|
| 1621 |
+
"eval_loss": 0.6941798329353333,
|
| 1622 |
+
"eval_runtime": 262.2224,
|
| 1623 |
+
"eval_samples_per_second": 72.065,
|
| 1624 |
+
"eval_steps_per_second": 2.254,
|
| 1625 |
+
"step": 50500
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 21.58273381294964,
|
| 1629 |
+
"grad_norm": 2.565237283706665,
|
| 1630 |
+
"learning_rate": 4.9e-05,
|
| 1631 |
+
"loss": 0.6851,
|
| 1632 |
+
"step": 51000
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 21.58273381294964,
|
| 1636 |
+
"eval_accuracy": 0.8506672404993625,
|
| 1637 |
+
"eval_loss": 0.6992844939231873,
|
| 1638 |
+
"eval_runtime": 260.0932,
|
| 1639 |
+
"eval_samples_per_second": 72.655,
|
| 1640 |
+
"eval_steps_per_second": 2.272,
|
| 1641 |
+
"step": 51000
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 21.794329242488363,
|
| 1645 |
+
"grad_norm": 2.7111079692840576,
|
| 1646 |
+
"learning_rate": 4.85e-05,
|
| 1647 |
+
"loss": 0.6844,
|
| 1648 |
+
"step": 51500
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 21.794329242488363,
|
| 1652 |
+
"eval_accuracy": 0.8515609185893287,
|
| 1653 |
+
"eval_loss": 0.6955757737159729,
|
| 1654 |
+
"eval_runtime": 257.0908,
|
| 1655 |
+
"eval_samples_per_second": 73.503,
|
| 1656 |
+
"eval_steps_per_second": 2.299,
|
| 1657 |
+
"step": 51500
|
| 1658 |
+
},
|
| 1659 |
+
{
|
| 1660 |
+
"epoch": 22.005924672027085,
|
| 1661 |
+
"grad_norm": 1.9302952289581299,
|
| 1662 |
+
"learning_rate": 4.8e-05,
|
| 1663 |
+
"loss": 0.6789,
|
| 1664 |
+
"step": 52000
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 22.005924672027085,
|
| 1668 |
+
"eval_accuracy": 0.8520686377908865,
|
| 1669 |
+
"eval_loss": 0.6876618266105652,
|
| 1670 |
+
"eval_runtime": 257.3651,
|
| 1671 |
+
"eval_samples_per_second": 73.425,
|
| 1672 |
+
"eval_steps_per_second": 2.296,
|
| 1673 |
+
"step": 52000
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 22.217520101565807,
|
| 1677 |
+
"grad_norm": 2.519709825515747,
|
| 1678 |
+
"learning_rate": 4.75e-05,
|
| 1679 |
+
"loss": 0.6712,
|
| 1680 |
+
"step": 52500
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 22.217520101565807,
|
| 1684 |
+
"eval_accuracy": 0.8512203875084602,
|
| 1685 |
+
"eval_loss": 0.693385899066925,
|
| 1686 |
+
"eval_runtime": 257.4402,
|
| 1687 |
+
"eval_samples_per_second": 73.403,
|
| 1688 |
+
"eval_steps_per_second": 2.296,
|
| 1689 |
+
"step": 52500
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 22.42911553110453,
|
| 1693 |
+
"grad_norm": 2.112175226211548,
|
| 1694 |
+
"learning_rate": 4.7e-05,
|
| 1695 |
+
"loss": 0.6753,
|
| 1696 |
+
"step": 53000
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 22.42911553110453,
|
| 1700 |
+
"eval_accuracy": 0.8517220351098194,
|
| 1701 |
+
"eval_loss": 0.694888710975647,
|
| 1702 |
+
"eval_runtime": 258.386,
|
| 1703 |
+
"eval_samples_per_second": 73.135,
|
| 1704 |
+
"eval_steps_per_second": 2.287,
|
| 1705 |
+
"step": 53000
|
| 1706 |
+
},
|
| 1707 |
+
{
|
| 1708 |
+
"epoch": 22.64071096064325,
|
| 1709 |
+
"grad_norm": 2.1871020793914795,
|
| 1710 |
+
"learning_rate": 4.6500000000000005e-05,
|
| 1711 |
+
"loss": 0.6758,
|
| 1712 |
+
"step": 53500
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 22.64071096064325,
|
| 1716 |
+
"eval_accuracy": 0.8519381025267055,
|
| 1717 |
+
"eval_loss": 0.6896358132362366,
|
| 1718 |
+
"eval_runtime": 257.0766,
|
| 1719 |
+
"eval_samples_per_second": 73.507,
|
| 1720 |
+
"eval_steps_per_second": 2.299,
|
| 1721 |
+
"step": 53500
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 22.852306390181973,
|
| 1725 |
+
"grad_norm": 2.269576072692871,
|
| 1726 |
+
"learning_rate": 4.600000000000001e-05,
|
| 1727 |
+
"loss": 0.6804,
|
| 1728 |
+
"step": 54000
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 22.852306390181973,
|
| 1732 |
+
"eval_accuracy": 0.8526405239761581,
|
| 1733 |
+
"eval_loss": 0.6887140870094299,
|
| 1734 |
+
"eval_runtime": 257.9174,
|
| 1735 |
+
"eval_samples_per_second": 73.268,
|
| 1736 |
+
"eval_steps_per_second": 2.291,
|
| 1737 |
+
"step": 54000
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 23.063901819720694,
|
| 1741 |
+
"grad_norm": 2.3919832706451416,
|
| 1742 |
+
"learning_rate": 4.55e-05,
|
| 1743 |
+
"loss": 0.6695,
|
| 1744 |
+
"step": 54500
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 23.063901819720694,
|
| 1748 |
+
"eval_accuracy": 0.8523709744856521,
|
| 1749 |
+
"eval_loss": 0.6889607310295105,
|
| 1750 |
+
"eval_runtime": 258.3624,
|
| 1751 |
+
"eval_samples_per_second": 73.141,
|
| 1752 |
+
"eval_steps_per_second": 2.287,
|
| 1753 |
+
"step": 54500
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 23.275497249259416,
|
| 1757 |
+
"grad_norm": 2.0920586585998535,
|
| 1758 |
+
"learning_rate": 4.5e-05,
|
| 1759 |
+
"loss": 0.6698,
|
| 1760 |
+
"step": 55000
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 23.275497249259416,
|
| 1764 |
+
"eval_accuracy": 0.8523748107261463,
|
| 1765 |
+
"eval_loss": 0.6941008567810059,
|
| 1766 |
+
"eval_runtime": 257.6034,
|
| 1767 |
+
"eval_samples_per_second": 73.357,
|
| 1768 |
+
"eval_steps_per_second": 2.294,
|
| 1769 |
+
"step": 55000
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 23.487092678798138,
|
| 1773 |
+
"grad_norm": 2.1779608726501465,
|
| 1774 |
+
"learning_rate": 4.4500000000000004e-05,
|
| 1775 |
+
"loss": 0.6718,
|
| 1776 |
+
"step": 55500
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 23.487092678798138,
|
| 1780 |
+
"eval_accuracy": 0.8525962559096781,
|
| 1781 |
+
"eval_loss": 0.6863034963607788,
|
| 1782 |
+
"eval_runtime": 257.3784,
|
| 1783 |
+
"eval_samples_per_second": 73.421,
|
| 1784 |
+
"eval_steps_per_second": 2.296,
|
| 1785 |
+
"step": 55500
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 23.69868810833686,
|
| 1789 |
+
"grad_norm": 2.148618459701538,
|
| 1790 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 1791 |
+
"loss": 0.6715,
|
| 1792 |
+
"step": 56000
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"epoch": 23.69868810833686,
|
| 1796 |
+
"eval_accuracy": 0.8526106664187645,
|
| 1797 |
+
"eval_loss": 0.6828573346138,
|
| 1798 |
+
"eval_runtime": 258.3374,
|
| 1799 |
+
"eval_samples_per_second": 73.149,
|
| 1800 |
+
"eval_steps_per_second": 2.288,
|
| 1801 |
+
"step": 56000
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 23.910283537875582,
|
| 1805 |
+
"grad_norm": 2.0527496337890625,
|
| 1806 |
+
"learning_rate": 4.35e-05,
|
| 1807 |
+
"loss": 0.6656,
|
| 1808 |
+
"step": 56500
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 23.910283537875582,
|
| 1812 |
+
"eval_accuracy": 0.8535395868625563,
|
| 1813 |
+
"eval_loss": 0.6810089349746704,
|
| 1814 |
+
"eval_runtime": 257.4041,
|
| 1815 |
+
"eval_samples_per_second": 73.414,
|
| 1816 |
+
"eval_steps_per_second": 2.296,
|
| 1817 |
+
"step": 56500
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 24.121878967414304,
|
| 1821 |
+
"grad_norm": 2.237309455871582,
|
| 1822 |
+
"learning_rate": 4.3e-05,
|
| 1823 |
+
"loss": 0.658,
|
| 1824 |
+
"step": 57000
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 24.121878967414304,
|
| 1828 |
+
"eval_accuracy": 0.8535104972419953,
|
| 1829 |
+
"eval_loss": 0.6827386021614075,
|
| 1830 |
+
"eval_runtime": 258.089,
|
| 1831 |
+
"eval_samples_per_second": 73.219,
|
| 1832 |
+
"eval_steps_per_second": 2.29,
|
| 1833 |
+
"step": 57000
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 24.333474396953026,
|
| 1837 |
+
"grad_norm": 2.237787961959839,
|
| 1838 |
+
"learning_rate": 4.25e-05,
|
| 1839 |
+
"loss": 0.6572,
|
| 1840 |
+
"step": 57500
|
| 1841 |
+
},
|
| 1842 |
+
{
|
| 1843 |
+
"epoch": 24.333474396953026,
|
| 1844 |
+
"eval_accuracy": 0.8534880491057201,
|
| 1845 |
+
"eval_loss": 0.685437023639679,
|
| 1846 |
+
"eval_runtime": 255.9723,
|
| 1847 |
+
"eval_samples_per_second": 73.824,
|
| 1848 |
+
"eval_steps_per_second": 2.309,
|
| 1849 |
+
"step": 57500
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 24.545069826491748,
|
| 1853 |
+
"grad_norm": 2.1690523624420166,
|
| 1854 |
+
"learning_rate": 4.2e-05,
|
| 1855 |
+
"loss": 0.6631,
|
| 1856 |
+
"step": 58000
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 24.545069826491748,
|
| 1860 |
+
"eval_accuracy": 0.8535779828246594,
|
| 1861 |
+
"eval_loss": 0.6842165589332581,
|
| 1862 |
+
"eval_runtime": 256.7529,
|
| 1863 |
+
"eval_samples_per_second": 73.6,
|
| 1864 |
+
"eval_steps_per_second": 2.302,
|
| 1865 |
+
"step": 58000
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 24.75666525603047,
|
| 1869 |
+
"grad_norm": 2.1989362239837646,
|
| 1870 |
+
"learning_rate": 4.15e-05,
|
| 1871 |
+
"loss": 0.6564,
|
| 1872 |
+
"step": 58500
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 24.75666525603047,
|
| 1876 |
+
"eval_accuracy": 0.8541202565678292,
|
| 1877 |
+
"eval_loss": 0.6805217862129211,
|
| 1878 |
+
"eval_runtime": 256.6862,
|
| 1879 |
+
"eval_samples_per_second": 73.619,
|
| 1880 |
+
"eval_steps_per_second": 2.302,
|
| 1881 |
+
"step": 58500
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 24.96826068556919,
|
| 1885 |
+
"grad_norm": 1.8871691226959229,
|
| 1886 |
+
"learning_rate": 4.1e-05,
|
| 1887 |
+
"loss": 0.6647,
|
| 1888 |
+
"step": 59000
|
| 1889 |
+
},
|
| 1890 |
+
{
|
| 1891 |
+
"epoch": 24.96826068556919,
|
| 1892 |
+
"eval_accuracy": 0.8543647630949314,
|
| 1893 |
+
"eval_loss": 0.6778047680854797,
|
| 1894 |
+
"eval_runtime": 255.7578,
|
| 1895 |
+
"eval_samples_per_second": 73.886,
|
| 1896 |
+
"eval_steps_per_second": 2.311,
|
| 1897 |
+
"step": 59000
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 25.179856115107913,
|
| 1901 |
+
"grad_norm": 2.1955065727233887,
|
| 1902 |
+
"learning_rate": 4.05e-05,
|
| 1903 |
+
"loss": 0.6554,
|
| 1904 |
+
"step": 59500
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 25.179856115107913,
|
| 1908 |
+
"eval_accuracy": 0.8550391736178592,
|
| 1909 |
+
"eval_loss": 0.6758434772491455,
|
| 1910 |
+
"eval_runtime": 256.2245,
|
| 1911 |
+
"eval_samples_per_second": 73.752,
|
| 1912 |
+
"eval_steps_per_second": 2.307,
|
| 1913 |
+
"step": 59500
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 25.391451544646635,
|
| 1917 |
+
"grad_norm": 2.249420404434204,
|
| 1918 |
+
"learning_rate": 4e-05,
|
| 1919 |
+
"loss": 0.6512,
|
| 1920 |
+
"step": 60000
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 25.391451544646635,
|
| 1924 |
+
"eval_accuracy": 0.8543816693378058,
|
| 1925 |
+
"eval_loss": 0.6784859895706177,
|
| 1926 |
+
"eval_runtime": 255.845,
|
| 1927 |
+
"eval_samples_per_second": 73.861,
|
| 1928 |
+
"eval_steps_per_second": 2.31,
|
| 1929 |
+
"step": 60000
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 25.603046974185357,
|
| 1933 |
+
"grad_norm": 2.0552549362182617,
|
| 1934 |
+
"learning_rate": 3.9500000000000005e-05,
|
| 1935 |
+
"loss": 0.6452,
|
| 1936 |
+
"step": 60500
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 25.603046974185357,
|
| 1940 |
+
"eval_accuracy": 0.8548483107764363,
|
| 1941 |
+
"eval_loss": 0.673579216003418,
|
| 1942 |
+
"eval_runtime": 255.913,
|
| 1943 |
+
"eval_samples_per_second": 73.841,
|
| 1944 |
+
"eval_steps_per_second": 2.309,
|
| 1945 |
+
"step": 60500
|
| 1946 |
+
},
|
| 1947 |
+
{
|
| 1948 |
+
"epoch": 25.81464240372408,
|
| 1949 |
+
"grad_norm": 2.267648220062256,
|
| 1950 |
+
"learning_rate": 3.9000000000000006e-05,
|
| 1951 |
+
"loss": 0.651,
|
| 1952 |
+
"step": 61000
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 25.81464240372408,
|
| 1956 |
+
"eval_accuracy": 0.855136708283999,
|
| 1957 |
+
"eval_loss": 0.6740577816963196,
|
| 1958 |
+
"eval_runtime": 256.0258,
|
| 1959 |
+
"eval_samples_per_second": 73.809,
|
| 1960 |
+
"eval_steps_per_second": 2.308,
|
| 1961 |
+
"step": 61000
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 26.0262378332628,
|
| 1965 |
+
"grad_norm": 2.2565786838531494,
|
| 1966 |
+
"learning_rate": 3.85e-05,
|
| 1967 |
+
"loss": 0.6563,
|
| 1968 |
+
"step": 61500
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 26.0262378332628,
|
| 1972 |
+
"eval_accuracy": 0.8556452428053658,
|
| 1973 |
+
"eval_loss": 0.6709764003753662,
|
| 1974 |
+
"eval_runtime": 257.0015,
|
| 1975 |
+
"eval_samples_per_second": 73.529,
|
| 1976 |
+
"eval_steps_per_second": 2.3,
|
| 1977 |
+
"step": 61500
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 26.237833262801523,
|
| 1981 |
+
"grad_norm": 2.354966402053833,
|
| 1982 |
+
"learning_rate": 3.8e-05,
|
| 1983 |
+
"loss": 0.6486,
|
| 1984 |
+
"step": 62000
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 26.237833262801523,
|
| 1988 |
+
"eval_accuracy": 0.8552881243161131,
|
| 1989 |
+
"eval_loss": 0.6740285158157349,
|
| 1990 |
+
"eval_runtime": 256.9093,
|
| 1991 |
+
"eval_samples_per_second": 73.555,
|
| 1992 |
+
"eval_steps_per_second": 2.3,
|
| 1993 |
+
"step": 62000
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 26.449428692340245,
|
| 1997 |
+
"grad_norm": 2.258758068084717,
|
| 1998 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 1999 |
+
"loss": 0.6433,
|
| 2000 |
+
"step": 62500
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 26.449428692340245,
|
| 2004 |
+
"eval_accuracy": 0.8559563495341208,
|
| 2005 |
+
"eval_loss": 0.6719037890434265,
|
| 2006 |
+
"eval_runtime": 256.7204,
|
| 2007 |
+
"eval_samples_per_second": 73.609,
|
| 2008 |
+
"eval_steps_per_second": 2.302,
|
| 2009 |
+
"step": 62500
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 26.661024121878967,
|
| 2013 |
+
"grad_norm": 2.0206925868988037,
|
| 2014 |
+
"learning_rate": 3.7e-05,
|
| 2015 |
+
"loss": 0.6447,
|
| 2016 |
+
"step": 63000
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 26.661024121878967,
|
| 2020 |
+
"eval_accuracy": 0.8555157197350896,
|
| 2021 |
+
"eval_loss": 0.6732048988342285,
|
| 2022 |
+
"eval_runtime": 257.8814,
|
| 2023 |
+
"eval_samples_per_second": 73.278,
|
| 2024 |
+
"eval_steps_per_second": 2.292,
|
| 2025 |
+
"step": 63000
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 26.87261955141769,
|
| 2029 |
+
"grad_norm": 1.9449124336242676,
|
| 2030 |
+
"learning_rate": 3.65e-05,
|
| 2031 |
+
"loss": 0.64,
|
| 2032 |
+
"step": 63500
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 26.87261955141769,
|
| 2036 |
+
"eval_accuracy": 0.8556555560363271,
|
| 2037 |
+
"eval_loss": 0.6709502339363098,
|
| 2038 |
+
"eval_runtime": 256.9555,
|
| 2039 |
+
"eval_samples_per_second": 73.542,
|
| 2040 |
+
"eval_steps_per_second": 2.3,
|
| 2041 |
+
"step": 63500
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 27.08421498095641,
|
| 2045 |
+
"grad_norm": 2.1372838020324707,
|
| 2046 |
+
"learning_rate": 3.6e-05,
|
| 2047 |
+
"loss": 0.6422,
|
| 2048 |
+
"step": 64000
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 27.08421498095641,
|
| 2052 |
+
"eval_accuracy": 0.8565842307319391,
|
| 2053 |
+
"eval_loss": 0.6674957871437073,
|
| 2054 |
+
"eval_runtime": 257.0374,
|
| 2055 |
+
"eval_samples_per_second": 73.518,
|
| 2056 |
+
"eval_steps_per_second": 2.299,
|
| 2057 |
+
"step": 64000
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 27.295810410495132,
|
| 2061 |
+
"grad_norm": 2.483285427093506,
|
| 2062 |
+
"learning_rate": 3.55e-05,
|
| 2063 |
+
"loss": 0.6384,
|
| 2064 |
+
"step": 64500
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 27.295810410495132,
|
| 2068 |
+
"eval_accuracy": 0.8569286551620731,
|
| 2069 |
+
"eval_loss": 0.6650407910346985,
|
| 2070 |
+
"eval_runtime": 256.3823,
|
| 2071 |
+
"eval_samples_per_second": 73.706,
|
| 2072 |
+
"eval_steps_per_second": 2.305,
|
| 2073 |
+
"step": 64500
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 27.507405840033854,
|
| 2077 |
+
"grad_norm": 2.1632394790649414,
|
| 2078 |
+
"learning_rate": 3.5e-05,
|
| 2079 |
+
"loss": 0.6393,
|
| 2080 |
+
"step": 65000
|
| 2081 |
+
},
|
| 2082 |
+
{
|
| 2083 |
+
"epoch": 27.507405840033854,
|
| 2084 |
+
"eval_accuracy": 0.8567457924280502,
|
| 2085 |
+
"eval_loss": 0.6690070033073425,
|
| 2086 |
+
"eval_runtime": 256.1477,
|
| 2087 |
+
"eval_samples_per_second": 73.774,
|
| 2088 |
+
"eval_steps_per_second": 2.307,
|
| 2089 |
+
"step": 65000
|
| 2090 |
+
},
|
| 2091 |
+
{
|
| 2092 |
+
"epoch": 27.719001269572576,
|
| 2093 |
+
"grad_norm": 2.0060813426971436,
|
| 2094 |
+
"learning_rate": 3.45e-05,
|
| 2095 |
+
"loss": 0.6361,
|
| 2096 |
+
"step": 65500
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 27.719001269572576,
|
| 2100 |
+
"eval_accuracy": 0.8566723165879284,
|
| 2101 |
+
"eval_loss": 0.6661916375160217,
|
| 2102 |
+
"eval_runtime": 256.9049,
|
| 2103 |
+
"eval_samples_per_second": 73.556,
|
| 2104 |
+
"eval_steps_per_second": 2.3,
|
| 2105 |
+
"step": 65500
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 27.930596699111298,
|
| 2109 |
+
"grad_norm": 2.366732120513916,
|
| 2110 |
+
"learning_rate": 3.4000000000000007e-05,
|
| 2111 |
+
"loss": 0.6399,
|
| 2112 |
+
"step": 66000
|
| 2113 |
+
},
|
| 2114 |
+
{
|
| 2115 |
+
"epoch": 27.930596699111298,
|
| 2116 |
+
"eval_accuracy": 0.8576545068142329,
|
| 2117 |
+
"eval_loss": 0.6571604609489441,
|
| 2118 |
+
"eval_runtime": 256.8265,
|
| 2119 |
+
"eval_samples_per_second": 73.579,
|
| 2120 |
+
"eval_steps_per_second": 2.301,
|
| 2121 |
+
"step": 66000
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 28.14219212865002,
|
| 2125 |
+
"grad_norm": 2.05325984954834,
|
| 2126 |
+
"learning_rate": 3.35e-05,
|
| 2127 |
+
"loss": 0.6316,
|
| 2128 |
+
"step": 66500
|
| 2129 |
+
},
|
| 2130 |
+
{
|
| 2131 |
+
"epoch": 28.14219212865002,
|
| 2132 |
+
"eval_accuracy": 0.8577938738865952,
|
| 2133 |
+
"eval_loss": 0.6611051559448242,
|
| 2134 |
+
"eval_runtime": 257.9314,
|
| 2135 |
+
"eval_samples_per_second": 73.264,
|
| 2136 |
+
"eval_steps_per_second": 2.291,
|
| 2137 |
+
"step": 66500
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 28.353787558188742,
|
| 2141 |
+
"grad_norm": 2.4425783157348633,
|
| 2142 |
+
"learning_rate": 3.3e-05,
|
| 2143 |
+
"loss": 0.6333,
|
| 2144 |
+
"step": 67000
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 28.353787558188742,
|
| 2148 |
+
"eval_accuracy": 0.8570879720234849,
|
| 2149 |
+
"eval_loss": 0.6641367673873901,
|
| 2150 |
+
"eval_runtime": 257.739,
|
| 2151 |
+
"eval_samples_per_second": 73.318,
|
| 2152 |
+
"eval_steps_per_second": 2.293,
|
| 2153 |
+
"step": 67000
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 28.565382987727464,
|
| 2157 |
+
"grad_norm": 2.383317232131958,
|
| 2158 |
+
"learning_rate": 3.2500000000000004e-05,
|
| 2159 |
+
"loss": 0.6278,
|
| 2160 |
+
"step": 67500
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"epoch": 28.565382987727464,
|
| 2164 |
+
"eval_accuracy": 0.857644581785577,
|
| 2165 |
+
"eval_loss": 0.6594184041023254,
|
| 2166 |
+
"eval_runtime": 257.9504,
|
| 2167 |
+
"eval_samples_per_second": 73.258,
|
| 2168 |
+
"eval_steps_per_second": 2.291,
|
| 2169 |
+
"step": 67500
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 28.776978417266186,
|
| 2173 |
+
"grad_norm": 2.2662878036499023,
|
| 2174 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 2175 |
+
"loss": 0.6352,
|
| 2176 |
+
"step": 68000
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 28.776978417266186,
|
| 2180 |
+
"eval_accuracy": 0.8572105229777692,
|
| 2181 |
+
"eval_loss": 0.6648845672607422,
|
| 2182 |
+
"eval_runtime": 256.9284,
|
| 2183 |
+
"eval_samples_per_second": 73.55,
|
| 2184 |
+
"eval_steps_per_second": 2.3,
|
| 2185 |
+
"step": 68000
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 28.988573846804908,
|
| 2189 |
+
"grad_norm": 2.10282039642334,
|
| 2190 |
+
"learning_rate": 3.15e-05,
|
| 2191 |
+
"loss": 0.6311,
|
| 2192 |
+
"step": 68500
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"epoch": 28.988573846804908,
|
| 2196 |
+
"eval_accuracy": 0.857648309378422,
|
| 2197 |
+
"eval_loss": 0.662155032157898,
|
| 2198 |
+
"eval_runtime": 257.3538,
|
| 2199 |
+
"eval_samples_per_second": 73.428,
|
| 2200 |
+
"eval_steps_per_second": 2.296,
|
| 2201 |
+
"step": 68500
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 29.20016927634363,
|
| 2205 |
+
"grad_norm": 1.9128146171569824,
|
| 2206 |
+
"learning_rate": 3.1e-05,
|
| 2207 |
+
"loss": 0.6251,
|
| 2208 |
+
"step": 69000
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 29.20016927634363,
|
| 2212 |
+
"eval_accuracy": 0.8576574897406316,
|
| 2213 |
+
"eval_loss": 0.6601685285568237,
|
| 2214 |
+
"eval_runtime": 256.4327,
|
| 2215 |
+
"eval_samples_per_second": 73.692,
|
| 2216 |
+
"eval_steps_per_second": 2.305,
|
| 2217 |
+
"step": 69000
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 29.41176470588235,
|
| 2221 |
+
"grad_norm": 2.0687811374664307,
|
| 2222 |
+
"learning_rate": 3.05e-05,
|
| 2223 |
+
"loss": 0.629,
|
| 2224 |
+
"step": 69500
|
| 2225 |
+
},
|
| 2226 |
+
{
|
| 2227 |
+
"epoch": 29.41176470588235,
|
| 2228 |
+
"eval_accuracy": 0.8573801438738243,
|
| 2229 |
+
"eval_loss": 0.6639636158943176,
|
| 2230 |
+
"eval_runtime": 258.0604,
|
| 2231 |
+
"eval_samples_per_second": 73.227,
|
| 2232 |
+
"eval_steps_per_second": 2.29,
|
| 2233 |
+
"step": 69500
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 29.623360135421073,
|
| 2237 |
+
"grad_norm": 2.125612497329712,
|
| 2238 |
+
"learning_rate": 3e-05,
|
| 2239 |
+
"loss": 0.6202,
|
| 2240 |
+
"step": 70000
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 29.623360135421073,
|
| 2244 |
+
"eval_accuracy": 0.8588090607527782,
|
| 2245 |
+
"eval_loss": 0.6577702760696411,
|
| 2246 |
+
"eval_runtime": 256.9418,
|
| 2247 |
+
"eval_samples_per_second": 73.546,
|
| 2248 |
+
"eval_steps_per_second": 2.3,
|
| 2249 |
+
"step": 70000
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 29.834955564959795,
|
| 2253 |
+
"grad_norm": 2.214634418487549,
|
| 2254 |
+
"learning_rate": 2.95e-05,
|
| 2255 |
+
"loss": 0.6289,
|
| 2256 |
+
"step": 70500
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 29.834955564959795,
|
| 2260 |
+
"eval_accuracy": 0.8582736032372443,
|
| 2261 |
+
"eval_loss": 0.6563034057617188,
|
| 2262 |
+
"eval_runtime": 256.8652,
|
| 2263 |
+
"eval_samples_per_second": 73.568,
|
| 2264 |
+
"eval_steps_per_second": 2.301,
|
| 2265 |
+
"step": 70500
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 30.046550994498517,
|
| 2269 |
+
"grad_norm": 2.4563674926757812,
|
| 2270 |
+
"learning_rate": 2.9e-05,
|
| 2271 |
+
"loss": 0.6294,
|
| 2272 |
+
"step": 71000
|
| 2273 |
+
},
|
| 2274 |
+
{
|
| 2275 |
+
"epoch": 30.046550994498517,
|
| 2276 |
+
"eval_accuracy": 0.8587331893872896,
|
| 2277 |
+
"eval_loss": 0.6563076972961426,
|
| 2278 |
+
"eval_runtime": 258.276,
|
| 2279 |
+
"eval_samples_per_second": 73.166,
|
| 2280 |
+
"eval_steps_per_second": 2.288,
|
| 2281 |
+
"step": 71000
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 30.25814642403724,
|
| 2285 |
+
"grad_norm": 2.4619274139404297,
|
| 2286 |
+
"learning_rate": 2.8499999999999998e-05,
|
| 2287 |
+
"loss": 0.6241,
|
| 2288 |
+
"step": 71500
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 30.25814642403724,
|
| 2292 |
+
"eval_accuracy": 0.8585391289001553,
|
| 2293 |
+
"eval_loss": 0.6559957265853882,
|
| 2294 |
+
"eval_runtime": 256.7684,
|
| 2295 |
+
"eval_samples_per_second": 73.596,
|
| 2296 |
+
"eval_steps_per_second": 2.302,
|
| 2297 |
+
"step": 71500
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 30.46974185357596,
|
| 2301 |
+
"grad_norm": 2.163997173309326,
|
| 2302 |
+
"learning_rate": 2.8000000000000003e-05,
|
| 2303 |
+
"loss": 0.6155,
|
| 2304 |
+
"step": 72000
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 30.46974185357596,
|
| 2308 |
+
"eval_accuracy": 0.859176163457185,
|
| 2309 |
+
"eval_loss": 0.6534537076950073,
|
| 2310 |
+
"eval_runtime": 257.735,
|
| 2311 |
+
"eval_samples_per_second": 73.319,
|
| 2312 |
+
"eval_steps_per_second": 2.293,
|
| 2313 |
+
"step": 72000
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 30.681337283114686,
|
| 2317 |
+
"grad_norm": 1.9971330165863037,
|
| 2318 |
+
"learning_rate": 2.7500000000000004e-05,
|
| 2319 |
+
"loss": 0.6183,
|
| 2320 |
+
"step": 72500
|
| 2321 |
+
},
|
| 2322 |
+
{
|
| 2323 |
+
"epoch": 30.681337283114686,
|
| 2324 |
+
"eval_accuracy": 0.8587832893264497,
|
| 2325 |
+
"eval_loss": 0.6570005416870117,
|
| 2326 |
+
"eval_runtime": 257.2991,
|
| 2327 |
+
"eval_samples_per_second": 73.444,
|
| 2328 |
+
"eval_steps_per_second": 2.297,
|
| 2329 |
+
"step": 72500
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 30.89293271265341,
|
| 2333 |
+
"grad_norm": 4.3704094886779785,
|
| 2334 |
+
"learning_rate": 2.7000000000000002e-05,
|
| 2335 |
+
"loss": 0.6231,
|
| 2336 |
+
"step": 73000
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 30.89293271265341,
|
| 2340 |
+
"eval_accuracy": 0.8594968426256769,
|
| 2341 |
+
"eval_loss": 0.6512365937232971,
|
| 2342 |
+
"eval_runtime": 258.4527,
|
| 2343 |
+
"eval_samples_per_second": 73.116,
|
| 2344 |
+
"eval_steps_per_second": 2.287,
|
| 2345 |
+
"step": 73000
|
| 2346 |
+
},
|
| 2347 |
+
{
|
| 2348 |
+
"epoch": 31.10452814219213,
|
| 2349 |
+
"grad_norm": 2.284454345703125,
|
| 2350 |
+
"learning_rate": 2.6500000000000004e-05,
|
| 2351 |
+
"loss": 0.6184,
|
| 2352 |
+
"step": 73500
|
| 2353 |
+
},
|
| 2354 |
+
{
|
| 2355 |
+
"epoch": 31.10452814219213,
|
| 2356 |
+
"eval_accuracy": 0.8589339862375011,
|
| 2357 |
+
"eval_loss": 0.6561238169670105,
|
| 2358 |
+
"eval_runtime": 258.2978,
|
| 2359 |
+
"eval_samples_per_second": 73.16,
|
| 2360 |
+
"eval_steps_per_second": 2.288,
|
| 2361 |
+
"step": 73500
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 31.316123571730852,
|
| 2365 |
+
"grad_norm": 2.543968439102173,
|
| 2366 |
+
"learning_rate": 2.6000000000000002e-05,
|
| 2367 |
+
"loss": 0.6092,
|
| 2368 |
+
"step": 74000
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 31.316123571730852,
|
| 2372 |
+
"eval_accuracy": 0.8592627955677871,
|
| 2373 |
+
"eval_loss": 0.6557057499885559,
|
| 2374 |
+
"eval_runtime": 257.2962,
|
| 2375 |
+
"eval_samples_per_second": 73.445,
|
| 2376 |
+
"eval_steps_per_second": 2.297,
|
| 2377 |
+
"step": 74000
|
| 2378 |
+
},
|
| 2379 |
+
{
|
| 2380 |
+
"epoch": 31.527719001269574,
|
| 2381 |
+
"grad_norm": 2.426683187484741,
|
| 2382 |
+
"learning_rate": 2.5500000000000003e-05,
|
| 2383 |
+
"loss": 0.6153,
|
| 2384 |
+
"step": 74500
|
| 2385 |
+
},
|
| 2386 |
+
{
|
| 2387 |
+
"epoch": 31.527719001269574,
|
| 2388 |
+
"eval_accuracy": 0.8598612185667269,
|
| 2389 |
+
"eval_loss": 0.6516777276992798,
|
| 2390 |
+
"eval_runtime": 258.0853,
|
| 2391 |
+
"eval_samples_per_second": 73.22,
|
| 2392 |
+
"eval_steps_per_second": 2.29,
|
| 2393 |
+
"step": 74500
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 31.739314430808296,
|
| 2397 |
+
"grad_norm": 2.08836030960083,
|
| 2398 |
+
"learning_rate": 2.5e-05,
|
| 2399 |
+
"loss": 0.618,
|
| 2400 |
+
"step": 75000
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 31.739314430808296,
|
| 2404 |
+
"eval_accuracy": 0.8595358144606893,
|
| 2405 |
+
"eval_loss": 0.6520631313323975,
|
| 2406 |
+
"eval_runtime": 257.4064,
|
| 2407 |
+
"eval_samples_per_second": 73.413,
|
| 2408 |
+
"eval_steps_per_second": 2.296,
|
| 2409 |
+
"step": 75000
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 31.950909860347018,
|
| 2413 |
+
"grad_norm": 2.1859846115112305,
|
| 2414 |
+
"learning_rate": 2.45e-05,
|
| 2415 |
+
"loss": 0.6112,
|
| 2416 |
+
"step": 75500
|
| 2417 |
+
},
|
| 2418 |
+
{
|
| 2419 |
+
"epoch": 31.950909860347018,
|
| 2420 |
+
"eval_accuracy": 0.8599916972277075,
|
| 2421 |
+
"eval_loss": 0.6482178568840027,
|
| 2422 |
+
"eval_runtime": 256.9388,
|
| 2423 |
+
"eval_samples_per_second": 73.547,
|
| 2424 |
+
"eval_steps_per_second": 2.3,
|
| 2425 |
+
"step": 75500
|
| 2426 |
+
},
|
| 2427 |
+
{
|
| 2428 |
+
"epoch": 32.162505289885736,
|
| 2429 |
+
"grad_norm": 2.3875808715820312,
|
| 2430 |
+
"learning_rate": 2.4e-05,
|
| 2431 |
+
"loss": 0.6085,
|
| 2432 |
+
"step": 76000
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 32.162505289885736,
|
| 2436 |
+
"eval_accuracy": 0.8600822452406449,
|
| 2437 |
+
"eval_loss": 0.6499439477920532,
|
| 2438 |
+
"eval_runtime": 257.7978,
|
| 2439 |
+
"eval_samples_per_second": 73.302,
|
| 2440 |
+
"eval_steps_per_second": 2.292,
|
| 2441 |
+
"step": 76000
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 32.37410071942446,
|
| 2445 |
+
"grad_norm": 2.2975618839263916,
|
| 2446 |
+
"learning_rate": 2.35e-05,
|
| 2447 |
+
"loss": 0.6089,
|
| 2448 |
+
"step": 76500
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 32.37410071942446,
|
| 2452 |
+
"eval_accuracy": 0.8597950415026119,
|
| 2453 |
+
"eval_loss": 0.6512751579284668,
|
| 2454 |
+
"eval_runtime": 257.8607,
|
| 2455 |
+
"eval_samples_per_second": 73.284,
|
| 2456 |
+
"eval_steps_per_second": 2.292,
|
| 2457 |
+
"step": 76500
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"epoch": 32.58569614896318,
|
| 2461 |
+
"grad_norm": 2.033182144165039,
|
| 2462 |
+
"learning_rate": 2.3000000000000003e-05,
|
| 2463 |
+
"loss": 0.6126,
|
| 2464 |
+
"step": 77000
|
| 2465 |
+
},
|
| 2466 |
+
{
|
| 2467 |
+
"epoch": 32.58569614896318,
|
| 2468 |
+
"eval_accuracy": 0.8606486981089672,
|
| 2469 |
+
"eval_loss": 0.6454304456710815,
|
| 2470 |
+
"eval_runtime": 257.2959,
|
| 2471 |
+
"eval_samples_per_second": 73.445,
|
| 2472 |
+
"eval_steps_per_second": 2.297,
|
| 2473 |
+
"step": 77000
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 32.797291578501905,
|
| 2477 |
+
"grad_norm": 2.5422468185424805,
|
| 2478 |
+
"learning_rate": 2.25e-05,
|
| 2479 |
+
"loss": 0.609,
|
| 2480 |
+
"step": 77500
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 32.797291578501905,
|
| 2484 |
+
"eval_accuracy": 0.8601956382296344,
|
| 2485 |
+
"eval_loss": 0.6503181457519531,
|
| 2486 |
+
"eval_runtime": 257.0398,
|
| 2487 |
+
"eval_samples_per_second": 73.518,
|
| 2488 |
+
"eval_steps_per_second": 2.299,
|
| 2489 |
+
"step": 77500
|
| 2490 |
+
},
|
| 2491 |
+
{
|
| 2492 |
+
"epoch": 33.008887008040624,
|
| 2493 |
+
"grad_norm": 2.5468478202819824,
|
| 2494 |
+
"learning_rate": 2.2000000000000003e-05,
|
| 2495 |
+
"loss": 0.607,
|
| 2496 |
+
"step": 78000
|
| 2497 |
+
},
|
| 2498 |
+
{
|
| 2499 |
+
"epoch": 33.008887008040624,
|
| 2500 |
+
"eval_accuracy": 0.8605192171260687,
|
| 2501 |
+
"eval_loss": 0.6505276560783386,
|
| 2502 |
+
"eval_runtime": 258.1255,
|
| 2503 |
+
"eval_samples_per_second": 73.209,
|
| 2504 |
+
"eval_steps_per_second": 2.29,
|
| 2505 |
+
"step": 78000
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 33.22048243757935,
|
| 2509 |
+
"grad_norm": 2.286163568496704,
|
| 2510 |
+
"learning_rate": 2.15e-05,
|
| 2511 |
+
"loss": 0.6041,
|
| 2512 |
+
"step": 78500
|
| 2513 |
+
},
|
| 2514 |
+
{
|
| 2515 |
+
"epoch": 33.22048243757935,
|
| 2516 |
+
"eval_accuracy": 0.861103987485214,
|
| 2517 |
+
"eval_loss": 0.64560866355896,
|
| 2518 |
+
"eval_runtime": 256.8052,
|
| 2519 |
+
"eval_samples_per_second": 73.585,
|
| 2520 |
+
"eval_steps_per_second": 2.301,
|
| 2521 |
+
"step": 78500
|
| 2522 |
+
},
|
| 2523 |
+
{
|
| 2524 |
+
"epoch": 33.43207786711807,
|
| 2525 |
+
"grad_norm": 2.1206068992614746,
|
| 2526 |
+
"learning_rate": 2.1e-05,
|
| 2527 |
+
"loss": 0.6004,
|
| 2528 |
+
"step": 79000
|
| 2529 |
+
},
|
| 2530 |
+
{
|
| 2531 |
+
"epoch": 33.43207786711807,
|
| 2532 |
+
"eval_accuracy": 0.8612596031308194,
|
| 2533 |
+
"eval_loss": 0.6434536576271057,
|
| 2534 |
+
"eval_runtime": 256.8337,
|
| 2535 |
+
"eval_samples_per_second": 73.577,
|
| 2536 |
+
"eval_steps_per_second": 2.301,
|
| 2537 |
+
"step": 79000
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 33.64367329665679,
|
| 2541 |
+
"grad_norm": 2.3370916843414307,
|
| 2542 |
+
"learning_rate": 2.05e-05,
|
| 2543 |
+
"loss": 0.5997,
|
| 2544 |
+
"step": 79500
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 33.64367329665679,
|
| 2548 |
+
"eval_accuracy": 0.8612788680646235,
|
| 2549 |
+
"eval_loss": 0.6443224549293518,
|
| 2550 |
+
"eval_runtime": 257.8264,
|
| 2551 |
+
"eval_samples_per_second": 73.294,
|
| 2552 |
+
"eval_steps_per_second": 2.292,
|
| 2553 |
+
"step": 79500
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 33.85526872619551,
|
| 2557 |
+
"grad_norm": 2.10185170173645,
|
| 2558 |
+
"learning_rate": 2e-05,
|
| 2559 |
+
"loss": 0.6065,
|
| 2560 |
+
"step": 80000
|
| 2561 |
+
},
|
| 2562 |
+
{
|
| 2563 |
+
"epoch": 33.85526872619551,
|
| 2564 |
+
"eval_accuracy": 0.8613491274220454,
|
| 2565 |
+
"eval_loss": 0.6434569358825684,
|
| 2566 |
+
"eval_runtime": 257.5668,
|
| 2567 |
+
"eval_samples_per_second": 73.367,
|
| 2568 |
+
"eval_steps_per_second": 2.295,
|
| 2569 |
+
"step": 80000
|
| 2570 |
+
},
|
| 2571 |
+
{
|
| 2572 |
+
"epoch": 34.06686415573424,
|
| 2573 |
+
"grad_norm": 2.255119562149048,
|
| 2574 |
+
"learning_rate": 1.9500000000000003e-05,
|
| 2575 |
+
"loss": 0.6078,
|
| 2576 |
+
"step": 80500
|
| 2577 |
+
},
|
| 2578 |
+
{
|
| 2579 |
+
"epoch": 34.06686415573424,
|
| 2580 |
+
"eval_accuracy": 0.8615438826911834,
|
| 2581 |
+
"eval_loss": 0.6406592130661011,
|
| 2582 |
+
"eval_runtime": 257.2887,
|
| 2583 |
+
"eval_samples_per_second": 73.447,
|
| 2584 |
+
"eval_steps_per_second": 2.297,
|
| 2585 |
+
"step": 80500
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 34.278459585272955,
|
| 2589 |
+
"grad_norm": 2.3236851692199707,
|
| 2590 |
+
"learning_rate": 1.9e-05,
|
| 2591 |
+
"loss": 0.6011,
|
| 2592 |
+
"step": 81000
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 34.278459585272955,
|
| 2596 |
+
"eval_accuracy": 0.861335263892077,
|
| 2597 |
+
"eval_loss": 0.6425759196281433,
|
| 2598 |
+
"eval_runtime": 256.7557,
|
| 2599 |
+
"eval_samples_per_second": 73.599,
|
| 2600 |
+
"eval_steps_per_second": 2.302,
|
| 2601 |
+
"step": 81000
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 34.49005501481168,
|
| 2605 |
+
"grad_norm": 2.623793601989746,
|
| 2606 |
+
"learning_rate": 1.85e-05,
|
| 2607 |
+
"loss": 0.5983,
|
| 2608 |
+
"step": 81500
|
| 2609 |
+
},
|
| 2610 |
+
{
|
| 2611 |
+
"epoch": 34.49005501481168,
|
| 2612 |
+
"eval_accuracy": 0.8618512666970425,
|
| 2613 |
+
"eval_loss": 0.6408096551895142,
|
| 2614 |
+
"eval_runtime": 257.0997,
|
| 2615 |
+
"eval_samples_per_second": 73.501,
|
| 2616 |
+
"eval_steps_per_second": 2.299,
|
| 2617 |
+
"step": 81500
|
| 2618 |
+
},
|
| 2619 |
+
{
|
| 2620 |
+
"epoch": 34.7016504443504,
|
| 2621 |
+
"grad_norm": 2.2693755626678467,
|
| 2622 |
+
"learning_rate": 1.8e-05,
|
| 2623 |
+
"loss": 0.5998,
|
| 2624 |
+
"step": 82000
|
| 2625 |
+
},
|
| 2626 |
+
{
|
| 2627 |
+
"epoch": 34.7016504443504,
|
| 2628 |
+
"eval_accuracy": 0.861604997597309,
|
| 2629 |
+
"eval_loss": 0.6423314809799194,
|
| 2630 |
+
"eval_runtime": 256.4954,
|
| 2631 |
+
"eval_samples_per_second": 73.674,
|
| 2632 |
+
"eval_steps_per_second": 2.304,
|
| 2633 |
+
"step": 82000
|
| 2634 |
+
},
|
| 2635 |
+
{
|
| 2636 |
+
"epoch": 34.913245873889124,
|
| 2637 |
+
"grad_norm": 2.0999703407287598,
|
| 2638 |
+
"learning_rate": 1.75e-05,
|
| 2639 |
+
"loss": 0.5889,
|
| 2640 |
+
"step": 82500
|
| 2641 |
+
},
|
| 2642 |
+
{
|
| 2643 |
+
"epoch": 34.913245873889124,
|
| 2644 |
+
"eval_accuracy": 0.8619206213704296,
|
| 2645 |
+
"eval_loss": 0.6381680369377136,
|
| 2646 |
+
"eval_runtime": 257.1218,
|
| 2647 |
+
"eval_samples_per_second": 73.494,
|
| 2648 |
+
"eval_steps_per_second": 2.299,
|
| 2649 |
+
"step": 82500
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 35.12484130342784,
|
| 2653 |
+
"grad_norm": 2.395651340484619,
|
| 2654 |
+
"learning_rate": 1.7000000000000003e-05,
|
| 2655 |
+
"loss": 0.599,
|
| 2656 |
+
"step": 83000
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 35.12484130342784,
|
| 2660 |
+
"eval_accuracy": 0.8622469017017651,
|
| 2661 |
+
"eval_loss": 0.6387470960617065,
|
| 2662 |
+
"eval_runtime": 257.8611,
|
| 2663 |
+
"eval_samples_per_second": 73.284,
|
| 2664 |
+
"eval_steps_per_second": 2.292,
|
| 2665 |
+
"step": 83000
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"epoch": 35.33643673296657,
|
| 2669 |
+
"grad_norm": 2.2825937271118164,
|
| 2670 |
+
"learning_rate": 1.65e-05,
|
| 2671 |
+
"loss": 0.5918,
|
| 2672 |
+
"step": 83500
|
| 2673 |
+
},
|
| 2674 |
+
{
|
| 2675 |
+
"epoch": 35.33643673296657,
|
| 2676 |
+
"eval_accuracy": 0.861704426322655,
|
| 2677 |
+
"eval_loss": 0.6450377702713013,
|
| 2678 |
+
"eval_runtime": 256.473,
|
| 2679 |
+
"eval_samples_per_second": 73.68,
|
| 2680 |
+
"eval_steps_per_second": 2.304,
|
| 2681 |
+
"step": 83500
|
| 2682 |
+
},
|
| 2683 |
+
{
|
| 2684 |
+
"epoch": 35.54803216250529,
|
| 2685 |
+
"grad_norm": 1.9914382696151733,
|
| 2686 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 2687 |
+
"loss": 0.5926,
|
| 2688 |
+
"step": 84000
|
| 2689 |
+
},
|
| 2690 |
+
{
|
| 2691 |
+
"epoch": 35.54803216250529,
|
| 2692 |
+
"eval_accuracy": 0.8618985060279569,
|
| 2693 |
+
"eval_loss": 0.6395832896232605,
|
| 2694 |
+
"eval_runtime": 257.6863,
|
| 2695 |
+
"eval_samples_per_second": 73.333,
|
| 2696 |
+
"eval_steps_per_second": 2.293,
|
| 2697 |
+
"step": 84000
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 35.75962759204401,
|
| 2701 |
+
"grad_norm": 2.521775484085083,
|
| 2702 |
+
"learning_rate": 1.55e-05,
|
| 2703 |
+
"loss": 0.5943,
|
| 2704 |
+
"step": 84500
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 35.75962759204401,
|
| 2708 |
+
"eval_accuracy": 0.8627831533978407,
|
| 2709 |
+
"eval_loss": 0.6390488147735596,
|
| 2710 |
+
"eval_runtime": 257.0675,
|
| 2711 |
+
"eval_samples_per_second": 73.51,
|
| 2712 |
+
"eval_steps_per_second": 2.299,
|
| 2713 |
+
"step": 84500
|
| 2714 |
+
},
|
| 2715 |
+
{
|
| 2716 |
+
"epoch": 35.97122302158273,
|
| 2717 |
+
"grad_norm": 1.8525476455688477,
|
| 2718 |
+
"learning_rate": 1.5e-05,
|
| 2719 |
+
"loss": 0.5893,
|
| 2720 |
+
"step": 85000
|
| 2721 |
+
},
|
| 2722 |
+
{
|
| 2723 |
+
"epoch": 35.97122302158273,
|
| 2724 |
+
"eval_accuracy": 0.8626250614990874,
|
| 2725 |
+
"eval_loss": 0.6369556188583374,
|
| 2726 |
+
"eval_runtime": 257.9689,
|
| 2727 |
+
"eval_samples_per_second": 73.253,
|
| 2728 |
+
"eval_steps_per_second": 2.291,
|
| 2729 |
+
"step": 85000
|
| 2730 |
+
},
|
| 2731 |
+
{
|
| 2732 |
+
"epoch": 36.182818451121456,
|
| 2733 |
+
"grad_norm": 2.334683895111084,
|
| 2734 |
+
"learning_rate": 1.45e-05,
|
| 2735 |
+
"loss": 0.5903,
|
| 2736 |
+
"step": 85500
|
| 2737 |
+
},
|
| 2738 |
+
{
|
| 2739 |
+
"epoch": 36.182818451121456,
|
| 2740 |
+
"eval_accuracy": 0.8625046820722551,
|
| 2741 |
+
"eval_loss": 0.6342423558235168,
|
| 2742 |
+
"eval_runtime": 256.664,
|
| 2743 |
+
"eval_samples_per_second": 73.625,
|
| 2744 |
+
"eval_steps_per_second": 2.303,
|
| 2745 |
+
"step": 85500
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 36.394413880660174,
|
| 2749 |
+
"grad_norm": 2.0412280559539795,
|
| 2750 |
+
"learning_rate": 1.4000000000000001e-05,
|
| 2751 |
+
"loss": 0.5858,
|
| 2752 |
+
"step": 86000
|
| 2753 |
+
},
|
| 2754 |
+
{
|
| 2755 |
+
"epoch": 36.394413880660174,
|
| 2756 |
+
"eval_accuracy": 0.863331290272893,
|
| 2757 |
+
"eval_loss": 0.6328237652778625,
|
| 2758 |
+
"eval_runtime": 258.0586,
|
| 2759 |
+
"eval_samples_per_second": 73.228,
|
| 2760 |
+
"eval_steps_per_second": 2.29,
|
| 2761 |
+
"step": 86000
|
| 2762 |
+
},
|
| 2763 |
+
{
|
| 2764 |
+
"epoch": 36.6060093101989,
|
| 2765 |
+
"grad_norm": 2.3417727947235107,
|
| 2766 |
+
"learning_rate": 1.3500000000000001e-05,
|
| 2767 |
+
"loss": 0.5892,
|
| 2768 |
+
"step": 86500
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 36.6060093101989,
|
| 2772 |
+
"eval_accuracy": 0.8630195888770026,
|
| 2773 |
+
"eval_loss": 0.63493412733078,
|
| 2774 |
+
"eval_runtime": 257.2339,
|
| 2775 |
+
"eval_samples_per_second": 73.462,
|
| 2776 |
+
"eval_steps_per_second": 2.298,
|
| 2777 |
+
"step": 86500
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"epoch": 36.817604739737625,
|
| 2781 |
+
"grad_norm": 2.4106574058532715,
|
| 2782 |
+
"learning_rate": 1.3000000000000001e-05,
|
| 2783 |
+
"loss": 0.5868,
|
| 2784 |
+
"step": 87000
|
| 2785 |
+
},
|
| 2786 |
+
{
|
| 2787 |
+
"epoch": 36.817604739737625,
|
| 2788 |
+
"eval_accuracy": 0.8629305255186842,
|
| 2789 |
+
"eval_loss": 0.6359015703201294,
|
| 2790 |
+
"eval_runtime": 257.4402,
|
| 2791 |
+
"eval_samples_per_second": 73.403,
|
| 2792 |
+
"eval_steps_per_second": 2.296,
|
| 2793 |
+
"step": 87000
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"epoch": 37.02920016927634,
|
| 2797 |
+
"grad_norm": 2.1081981658935547,
|
| 2798 |
+
"learning_rate": 1.25e-05,
|
| 2799 |
+
"loss": 0.5829,
|
| 2800 |
+
"step": 87500
|
| 2801 |
+
},
|
| 2802 |
+
{
|
| 2803 |
+
"epoch": 37.02920016927634,
|
| 2804 |
+
"eval_accuracy": 0.8632634435698987,
|
| 2805 |
+
"eval_loss": 0.6348563432693481,
|
| 2806 |
+
"eval_runtime": 257.811,
|
| 2807 |
+
"eval_samples_per_second": 73.298,
|
| 2808 |
+
"eval_steps_per_second": 2.292,
|
| 2809 |
+
"step": 87500
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 37.24079559881507,
|
| 2813 |
+
"grad_norm": 1.9520829916000366,
|
| 2814 |
+
"learning_rate": 1.2e-05,
|
| 2815 |
+
"loss": 0.5786,
|
| 2816 |
+
"step": 88000
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 37.24079559881507,
|
| 2820 |
+
"eval_accuracy": 0.8635603072851765,
|
| 2821 |
+
"eval_loss": 0.6330804824829102,
|
| 2822 |
+
"eval_runtime": 258.3549,
|
| 2823 |
+
"eval_samples_per_second": 73.144,
|
| 2824 |
+
"eval_steps_per_second": 2.288,
|
| 2825 |
+
"step": 88000
|
| 2826 |
+
},
|
| 2827 |
+
{
|
| 2828 |
+
"epoch": 37.45239102835379,
|
| 2829 |
+
"grad_norm": 2.665600299835205,
|
| 2830 |
+
"learning_rate": 1.1500000000000002e-05,
|
| 2831 |
+
"loss": 0.5853,
|
| 2832 |
+
"step": 88500
|
| 2833 |
+
},
|
| 2834 |
+
{
|
| 2835 |
+
"epoch": 37.45239102835379,
|
| 2836 |
+
"eval_accuracy": 0.86310256785702,
|
| 2837 |
+
"eval_loss": 0.635982096195221,
|
| 2838 |
+
"eval_runtime": 258.5477,
|
| 2839 |
+
"eval_samples_per_second": 73.089,
|
| 2840 |
+
"eval_steps_per_second": 2.286,
|
| 2841 |
+
"step": 88500
|
| 2842 |
+
},
|
| 2843 |
+
{
|
| 2844 |
+
"epoch": 37.66398645789251,
|
| 2845 |
+
"grad_norm": 2.0741140842437744,
|
| 2846 |
+
"learning_rate": 1.1000000000000001e-05,
|
| 2847 |
+
"loss": 0.5892,
|
| 2848 |
+
"step": 89000
|
| 2849 |
+
},
|
| 2850 |
+
{
|
| 2851 |
+
"epoch": 37.66398645789251,
|
| 2852 |
+
"eval_accuracy": 0.8633460044988377,
|
| 2853 |
+
"eval_loss": 0.6328010559082031,
|
| 2854 |
+
"eval_runtime": 257.8523,
|
| 2855 |
+
"eval_samples_per_second": 73.286,
|
| 2856 |
+
"eval_steps_per_second": 2.292,
|
| 2857 |
+
"step": 89000
|
| 2858 |
+
},
|
| 2859 |
+
{
|
| 2860 |
+
"epoch": 37.87558188743123,
|
| 2861 |
+
"grad_norm": 2.241579055786133,
|
| 2862 |
+
"learning_rate": 1.05e-05,
|
| 2863 |
+
"loss": 0.586,
|
| 2864 |
+
"step": 89500
|
| 2865 |
+
},
|
| 2866 |
+
{
|
| 2867 |
+
"epoch": 37.87558188743123,
|
| 2868 |
+
"eval_accuracy": 0.8636331592270965,
|
| 2869 |
+
"eval_loss": 0.6322268843650818,
|
| 2870 |
+
"eval_runtime": 257.8127,
|
| 2871 |
+
"eval_samples_per_second": 73.297,
|
| 2872 |
+
"eval_steps_per_second": 2.292,
|
| 2873 |
+
"step": 89500
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"epoch": 38.08717731696996,
|
| 2877 |
+
"grad_norm": 2.2971644401550293,
|
| 2878 |
+
"learning_rate": 1e-05,
|
| 2879 |
+
"loss": 0.5836,
|
| 2880 |
+
"step": 90000
|
| 2881 |
+
},
|
| 2882 |
+
{
|
| 2883 |
+
"epoch": 38.08717731696996,
|
| 2884 |
+
"eval_accuracy": 0.8638041667935695,
|
| 2885 |
+
"eval_loss": 0.6331207752227783,
|
| 2886 |
+
"eval_runtime": 257.2744,
|
| 2887 |
+
"eval_samples_per_second": 73.451,
|
| 2888 |
+
"eval_steps_per_second": 2.297,
|
| 2889 |
+
"step": 90000
|
| 2890 |
+
},
|
| 2891 |
+
{
|
| 2892 |
+
"epoch": 38.298772746508675,
|
| 2893 |
+
"grad_norm": 2.16782808303833,
|
| 2894 |
+
"learning_rate": 9.5e-06,
|
| 2895 |
+
"loss": 0.5804,
|
| 2896 |
+
"step": 90500
|
| 2897 |
+
},
|
| 2898 |
+
{
|
| 2899 |
+
"epoch": 38.298772746508675,
|
| 2900 |
+
"eval_accuracy": 0.8636841097398482,
|
| 2901 |
+
"eval_loss": 0.6297397613525391,
|
| 2902 |
+
"eval_runtime": 257.3039,
|
| 2903 |
+
"eval_samples_per_second": 73.442,
|
| 2904 |
+
"eval_steps_per_second": 2.297,
|
| 2905 |
+
"step": 90500
|
| 2906 |
+
},
|
| 2907 |
+
{
|
| 2908 |
+
"epoch": 38.5103681760474,
|
| 2909 |
+
"grad_norm": 2.5972766876220703,
|
| 2910 |
+
"learning_rate": 9e-06,
|
| 2911 |
+
"loss": 0.5749,
|
| 2912 |
+
"step": 91000
|
| 2913 |
+
},
|
| 2914 |
+
{
|
| 2915 |
+
"epoch": 38.5103681760474,
|
| 2916 |
+
"eval_accuracy": 0.8642539234476619,
|
| 2917 |
+
"eval_loss": 0.6277257204055786,
|
| 2918 |
+
"eval_runtime": 256.7372,
|
| 2919 |
+
"eval_samples_per_second": 73.604,
|
| 2920 |
+
"eval_steps_per_second": 2.302,
|
| 2921 |
+
"step": 91000
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 38.72196360558612,
|
| 2925 |
+
"grad_norm": 2.135735511779785,
|
| 2926 |
+
"learning_rate": 8.500000000000002e-06,
|
| 2927 |
+
"loss": 0.5822,
|
| 2928 |
+
"step": 91500
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 38.72196360558612,
|
| 2932 |
+
"eval_accuracy": 0.8645455867243863,
|
| 2933 |
+
"eval_loss": 0.6260649561882019,
|
| 2934 |
+
"eval_runtime": 256.3537,
|
| 2935 |
+
"eval_samples_per_second": 73.715,
|
| 2936 |
+
"eval_steps_per_second": 2.305,
|
| 2937 |
+
"step": 91500
|
| 2938 |
+
},
|
| 2939 |
+
{
|
| 2940 |
+
"epoch": 38.933559035124844,
|
| 2941 |
+
"grad_norm": 2.3427000045776367,
|
| 2942 |
+
"learning_rate": 8.000000000000001e-06,
|
| 2943 |
+
"loss": 0.5789,
|
| 2944 |
+
"step": 92000
|
| 2945 |
+
},
|
| 2946 |
+
{
|
| 2947 |
+
"epoch": 38.933559035124844,
|
| 2948 |
+
"eval_accuracy": 0.8643548693082614,
|
| 2949 |
+
"eval_loss": 0.6279270052909851,
|
| 2950 |
+
"eval_runtime": 256.8121,
|
| 2951 |
+
"eval_samples_per_second": 73.583,
|
| 2952 |
+
"eval_steps_per_second": 2.301,
|
| 2953 |
+
"step": 92000
|
| 2954 |
+
},
|
| 2955 |
+
{
|
| 2956 |
+
"epoch": 39.14515446466356,
|
| 2957 |
+
"grad_norm": 1.8570456504821777,
|
| 2958 |
+
"learning_rate": 7.5e-06,
|
| 2959 |
+
"loss": 0.5759,
|
| 2960 |
+
"step": 92500
|
| 2961 |
+
},
|
| 2962 |
+
{
|
| 2963 |
+
"epoch": 39.14515446466356,
|
| 2964 |
+
"eval_accuracy": 0.8645723102469411,
|
| 2965 |
+
"eval_loss": 0.6275793313980103,
|
| 2966 |
+
"eval_runtime": 257.1396,
|
| 2967 |
+
"eval_samples_per_second": 73.489,
|
| 2968 |
+
"eval_steps_per_second": 2.298,
|
| 2969 |
+
"step": 92500
|
| 2970 |
+
},
|
| 2971 |
+
{
|
| 2972 |
+
"epoch": 39.35674989420229,
|
| 2973 |
+
"grad_norm": 1.9811420440673828,
|
| 2974 |
+
"learning_rate": 7.000000000000001e-06,
|
| 2975 |
+
"loss": 0.5828,
|
| 2976 |
+
"step": 93000
|
| 2977 |
+
},
|
| 2978 |
+
{
|
| 2979 |
+
"epoch": 39.35674989420229,
|
| 2980 |
+
"eval_accuracy": 0.8645656034410188,
|
| 2981 |
+
"eval_loss": 0.6268828511238098,
|
| 2982 |
+
"eval_runtime": 257.3243,
|
| 2983 |
+
"eval_samples_per_second": 73.437,
|
| 2984 |
+
"eval_steps_per_second": 2.297,
|
| 2985 |
+
"step": 93000
|
| 2986 |
+
},
|
| 2987 |
+
{
|
| 2988 |
+
"epoch": 39.568345323741006,
|
| 2989 |
+
"grad_norm": 2.0771069526672363,
|
| 2990 |
+
"learning_rate": 6.5000000000000004e-06,
|
| 2991 |
+
"loss": 0.5751,
|
| 2992 |
+
"step": 93500
|
| 2993 |
+
},
|
| 2994 |
+
{
|
| 2995 |
+
"epoch": 39.568345323741006,
|
| 2996 |
+
"eval_accuracy": 0.8639147501323294,
|
| 2997 |
+
"eval_loss": 0.6303614377975464,
|
| 2998 |
+
"eval_runtime": 257.7297,
|
| 2999 |
+
"eval_samples_per_second": 73.321,
|
| 3000 |
+
"eval_steps_per_second": 2.293,
|
| 3001 |
+
"step": 93500
|
| 3002 |
+
},
|
| 3003 |
+
{
|
| 3004 |
+
"epoch": 39.77994075327973,
|
| 3005 |
+
"grad_norm": 2.240673303604126,
|
| 3006 |
+
"learning_rate": 6e-06,
|
| 3007 |
+
"loss": 0.5815,
|
| 3008 |
+
"step": 94000
|
| 3009 |
+
},
|
| 3010 |
+
{
|
| 3011 |
+
"epoch": 39.77994075327973,
|
| 3012 |
+
"eval_accuracy": 0.8643407518760727,
|
| 3013 |
+
"eval_loss": 0.6293367743492126,
|
| 3014 |
+
"eval_runtime": 256.9997,
|
| 3015 |
+
"eval_samples_per_second": 73.529,
|
| 3016 |
+
"eval_steps_per_second": 2.3,
|
| 3017 |
+
"step": 94000
|
| 3018 |
+
},
|
| 3019 |
+
{
|
| 3020 |
+
"epoch": 39.99153618281845,
|
| 3021 |
+
"grad_norm": 2.0342483520507812,
|
| 3022 |
+
"learning_rate": 5.500000000000001e-06,
|
| 3023 |
+
"loss": 0.5706,
|
| 3024 |
+
"step": 94500
|
| 3025 |
+
},
|
| 3026 |
+
{
|
| 3027 |
+
"epoch": 39.99153618281845,
|
| 3028 |
+
"eval_accuracy": 0.8641492850194513,
|
| 3029 |
+
"eval_loss": 0.6290746927261353,
|
| 3030 |
+
"eval_runtime": 257.7049,
|
| 3031 |
+
"eval_samples_per_second": 73.328,
|
| 3032 |
+
"eval_steps_per_second": 2.293,
|
| 3033 |
+
"step": 94500
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 40.203131612357176,
|
| 3037 |
+
"grad_norm": 2.2806169986724854,
|
| 3038 |
+
"learning_rate": 5e-06,
|
| 3039 |
+
"loss": 0.5769,
|
| 3040 |
+
"step": 95000
|
| 3041 |
+
},
|
| 3042 |
+
{
|
| 3043 |
+
"epoch": 40.203131612357176,
|
| 3044 |
+
"eval_accuracy": 0.8643460240222336,
|
| 3045 |
+
"eval_loss": 0.6276535391807556,
|
| 3046 |
+
"eval_runtime": 258.0893,
|
| 3047 |
+
"eval_samples_per_second": 73.219,
|
| 3048 |
+
"eval_steps_per_second": 2.29,
|
| 3049 |
+
"step": 95000
|
| 3050 |
+
},
|
| 3051 |
+
{
|
| 3052 |
+
"epoch": 40.414727041895894,
|
| 3053 |
+
"grad_norm": 2.274801015853882,
|
| 3054 |
+
"learning_rate": 4.5e-06,
|
| 3055 |
+
"loss": 0.5745,
|
| 3056 |
+
"step": 95500
|
| 3057 |
+
},
|
| 3058 |
+
{
|
| 3059 |
+
"epoch": 40.414727041895894,
|
| 3060 |
+
"eval_accuracy": 0.8645701969504193,
|
| 3061 |
+
"eval_loss": 0.6263399124145508,
|
| 3062 |
+
"eval_runtime": 257.9172,
|
| 3063 |
+
"eval_samples_per_second": 73.268,
|
| 3064 |
+
"eval_steps_per_second": 2.291,
|
| 3065 |
+
"step": 95500
|
| 3066 |
+
},
|
| 3067 |
+
{
|
| 3068 |
+
"epoch": 40.62632247143462,
|
| 3069 |
+
"grad_norm": 1.9795494079589844,
|
| 3070 |
+
"learning_rate": 4.000000000000001e-06,
|
| 3071 |
+
"loss": 0.5725,
|
| 3072 |
+
"step": 96000
|
| 3073 |
+
},
|
| 3074 |
+
{
|
| 3075 |
+
"epoch": 40.62632247143462,
|
| 3076 |
+
"eval_accuracy": 0.8639941855847747,
|
| 3077 |
+
"eval_loss": 0.628220796585083,
|
| 3078 |
+
"eval_runtime": 256.7265,
|
| 3079 |
+
"eval_samples_per_second": 73.608,
|
| 3080 |
+
"eval_steps_per_second": 2.302,
|
| 3081 |
+
"step": 96000
|
| 3082 |
+
},
|
| 3083 |
+
{
|
| 3084 |
+
"epoch": 40.83791790097334,
|
| 3085 |
+
"grad_norm": 2.1582834720611572,
|
| 3086 |
+
"learning_rate": 3.5000000000000004e-06,
|
| 3087 |
+
"loss": 0.5698,
|
| 3088 |
+
"step": 96500
|
| 3089 |
+
},
|
| 3090 |
+
{
|
| 3091 |
+
"epoch": 40.83791790097334,
|
| 3092 |
+
"eval_accuracy": 0.8640015054090628,
|
| 3093 |
+
"eval_loss": 0.6307675242424011,
|
| 3094 |
+
"eval_runtime": 256.4521,
|
| 3095 |
+
"eval_samples_per_second": 73.686,
|
| 3096 |
+
"eval_steps_per_second": 2.305,
|
| 3097 |
+
"step": 96500
|
| 3098 |
+
},
|
| 3099 |
+
{
|
| 3100 |
+
"epoch": 41.04951333051206,
|
| 3101 |
+
"grad_norm": 2.10416579246521,
|
| 3102 |
+
"learning_rate": 3e-06,
|
| 3103 |
+
"loss": 0.5724,
|
| 3104 |
+
"step": 97000
|
| 3105 |
+
},
|
| 3106 |
+
{
|
| 3107 |
+
"epoch": 41.04951333051206,
|
| 3108 |
+
"eval_accuracy": 0.8648230139892127,
|
| 3109 |
+
"eval_loss": 0.6243485808372498,
|
| 3110 |
+
"eval_runtime": 256.012,
|
| 3111 |
+
"eval_samples_per_second": 73.813,
|
| 3112 |
+
"eval_steps_per_second": 2.308,
|
| 3113 |
+
"step": 97000
|
| 3114 |
+
},
|
| 3115 |
+
{
|
| 3116 |
+
"epoch": 41.26110876005078,
|
| 3117 |
+
"grad_norm": 2.0425074100494385,
|
| 3118 |
+
"learning_rate": 2.5e-06,
|
| 3119 |
+
"loss": 0.5651,
|
| 3120 |
+
"step": 97500
|
| 3121 |
+
},
|
| 3122 |
+
{
|
| 3123 |
+
"epoch": 41.26110876005078,
|
| 3124 |
+
"eval_accuracy": 0.864510138245159,
|
| 3125 |
+
"eval_loss": 0.6273527145385742,
|
| 3126 |
+
"eval_runtime": 257.4944,
|
| 3127 |
+
"eval_samples_per_second": 73.388,
|
| 3128 |
+
"eval_steps_per_second": 2.295,
|
| 3129 |
+
"step": 97500
|
| 3130 |
+
},
|
| 3131 |
+
{
|
| 3132 |
+
"epoch": 41.47270418958951,
|
| 3133 |
+
"grad_norm": 2.218738555908203,
|
| 3134 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 3135 |
+
"loss": 0.5786,
|
| 3136 |
+
"step": 98000
|
| 3137 |
+
},
|
| 3138 |
+
{
|
| 3139 |
+
"epoch": 41.47270418958951,
|
| 3140 |
+
"eval_accuracy": 0.8649183862199398,
|
| 3141 |
+
"eval_loss": 0.6246976852416992,
|
| 3142 |
+
"eval_runtime": 256.2595,
|
| 3143 |
+
"eval_samples_per_second": 73.742,
|
| 3144 |
+
"eval_steps_per_second": 2.306,
|
| 3145 |
+
"step": 98000
|
| 3146 |
+
},
|
| 3147 |
+
{
|
| 3148 |
+
"epoch": 41.684299619128225,
|
| 3149 |
+
"grad_norm": 2.116130828857422,
|
| 3150 |
+
"learning_rate": 1.5e-06,
|
| 3151 |
+
"loss": 0.5684,
|
| 3152 |
+
"step": 98500
|
| 3153 |
+
},
|
| 3154 |
+
{
|
| 3155 |
+
"epoch": 41.684299619128225,
|
| 3156 |
+
"eval_accuracy": 0.8649372814063708,
|
| 3157 |
+
"eval_loss": 0.6239222884178162,
|
| 3158 |
+
"eval_runtime": 257.5904,
|
| 3159 |
+
"eval_samples_per_second": 73.361,
|
| 3160 |
+
"eval_steps_per_second": 2.294,
|
| 3161 |
+
"step": 98500
|
| 3162 |
+
},
|
| 3163 |
+
{
|
| 3164 |
+
"epoch": 41.89589504866695,
|
| 3165 |
+
"grad_norm": 1.968195915222168,
|
| 3166 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 3167 |
+
"loss": 0.5737,
|
| 3168 |
+
"step": 99000
|
| 3169 |
+
},
|
| 3170 |
+
{
|
| 3171 |
+
"epoch": 41.89589504866695,
|
| 3172 |
+
"eval_accuracy": 0.8654995695922106,
|
| 3173 |
+
"eval_loss": 0.6234558820724487,
|
| 3174 |
+
"eval_runtime": 257.2353,
|
| 3175 |
+
"eval_samples_per_second": 73.462,
|
| 3176 |
+
"eval_steps_per_second": 2.298,
|
| 3177 |
+
"step": 99000
|
| 3178 |
+
}
|
| 3179 |
+
],
|
| 3180 |
+
"logging_steps": 500,
|
| 3181 |
+
"max_steps": 100000,
|
| 3182 |
+
"num_input_tokens_seen": 0,
|
| 3183 |
+
"num_train_epochs": 43,
|
| 3184 |
+
"save_steps": 500,
|
| 3185 |
+
"stateful_callbacks": {
|
| 3186 |
+
"TrainerControl": {
|
| 3187 |
+
"args": {
|
| 3188 |
+
"should_epoch_stop": false,
|
| 3189 |
+
"should_evaluate": false,
|
| 3190 |
+
"should_log": false,
|
| 3191 |
+
"should_save": true,
|
| 3192 |
+
"should_training_stop": false
|
| 3193 |
+
},
|
| 3194 |
+
"attributes": {}
|
| 3195 |
+
}
|
| 3196 |
+
},
|
| 3197 |
+
"total_flos": 8.359688283315241e+17,
|
| 3198 |
+
"train_batch_size": 16,
|
| 3199 |
+
"trial_name": null,
|
| 3200 |
+
"trial_params": null
|
| 3201 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e7848843ecb99b15713ad10603659fa7917d47419ee24025c547230880ed7ac
|
| 3 |
+
size 5176
|