metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter13_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter13_sftsd2
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5914
- Num Input Tokens Seen: 4764832
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| No log | 0 | 0 | 1.3909 | 0 |
| 1.6665 | 0.0511 | 5 | 1.2782 | 248088 |
| 0.7132 | 0.1021 | 10 | 1.3229 | 492944 |
| 0.4332 | 0.1532 | 15 | 1.5331 | 737200 |
| 0.2622 | 0.2042 | 20 | 1.7169 | 982128 |
| 0.136 | 0.2553 | 25 | 1.9671 | 1228256 |
| 0.077 | 0.3063 | 30 | 2.1798 | 1475016 |
| 0.0375 | 0.3574 | 35 | 2.3843 | 1718752 |
| 0.0255 | 0.4084 | 40 | 2.5202 | 1966432 |
| 0.0209 | 0.4595 | 45 | 2.5795 | 2208784 |
| 0.0194 | 0.5105 | 50 | 2.5974 | 2459208 |
| 0.0199 | 0.5616 | 55 | 2.6020 | 2700064 |
| 0.0211 | 0.6126 | 60 | 2.6116 | 2947288 |
| 0.0206 | 0.6637 | 65 | 2.6139 | 3192944 |
| 0.02 | 0.7147 | 70 | 2.6100 | 3432568 |
| 0.0204 | 0.7658 | 75 | 2.5829 | 3677032 |
| 0.0213 | 0.8168 | 80 | 2.5711 | 3922712 |
| 0.0209 | 0.8679 | 85 | 2.5732 | 4172608 |
| 0.0192 | 0.9190 | 90 | 2.5755 | 4418512 |
| 0.0197 | 0.9700 | 95 | 2.5900 | 4665416 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1