End of training
Browse files- README.md +71 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: google/fnet-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: NLPGroupProject-Finetune-FNet
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# NLPGroupProject-Finetune-FNet
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.1397
|
| 21 |
+
- Accuracy: 0.661
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-05
|
| 41 |
+
- train_batch_size: 2
|
| 42 |
+
- eval_batch_size: 2
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 3
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
+
| 1.2489 | 0.25 | 500 | 1.1166 | 0.601 |
|
| 53 |
+
| 1.0966 | 0.5 | 1000 | 0.9805 | 0.6 |
|
| 54 |
+
| 1.0379 | 0.75 | 1500 | 1.0110 | 0.624 |
|
| 55 |
+
| 0.9708 | 1.0 | 2000 | 0.9348 | 0.633 |
|
| 56 |
+
| 0.891 | 1.25 | 2500 | 1.1107 | 0.622 |
|
| 57 |
+
| 0.948 | 1.5 | 3000 | 1.0165 | 0.656 |
|
| 58 |
+
| 0.9148 | 1.75 | 3500 | 1.0472 | 0.655 |
|
| 59 |
+
| 0.969 | 2.0 | 4000 | 1.0291 | 0.65 |
|
| 60 |
+
| 0.855 | 2.25 | 4500 | 1.2743 | 0.635 |
|
| 61 |
+
| 0.8445 | 2.5 | 5000 | 1.1520 | 0.655 |
|
| 62 |
+
| 0.8057 | 2.75 | 5500 | 1.1107 | 0.662 |
|
| 63 |
+
| 0.7467 | 3.0 | 6000 | 1.1397 | 0.661 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.40.0
|
| 69 |
+
- Pytorch 2.2.2+cu118
|
| 70 |
+
- Datasets 2.19.0
|
| 71 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 331459532
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c5ef06c9e5dc6c4e4dd160428c89bf88fa4a710fc20bde38e171051470fa3a9
|
| 3 |
size 331459532
|