| --- |
| license: gemma |
| base_model: google/gemma-2-2b |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: collapse_gemma-2-2b_hs2_replace_iter2_sftsd0 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # collapse_gemma-2-2b_hs2_replace_iter2_sftsd0 |
| |
| This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6314 |
| - Num Input Tokens Seen: 4852992 |
| |
| ## 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: 0 |
| - 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 | 1.3911 | 0 | |
| | 1.5169 | 0.0579 | 5 | 1.2663 | 285536 | |
| | 1.3736 | 0.1158 | 10 | 1.1918 | 567456 | |
| | 1.1135 | 0.1737 | 15 | 1.2205 | 844248 | |
| | 0.8215 | 0.2315 | 20 | 1.2889 | 1125792 | |
| | 0.7 | 0.2894 | 25 | 1.3912 | 1408488 | |
| | 0.4534 | 0.3473 | 30 | 1.4630 | 1691120 | |
| | 0.4168 | 0.4052 | 35 | 1.5283 | 1974504 | |
| | 0.3295 | 0.4631 | 40 | 1.5404 | 2257232 | |
| | 0.1989 | 0.5210 | 45 | 1.4892 | 2538768 | |
| | 0.2135 | 0.5789 | 50 | 1.5781 | 2821752 | |
| | 0.1784 | 0.6368 | 55 | 1.4920 | 3105616 | |
| | 0.1314 | 0.6946 | 60 | 1.5251 | 3381944 | |
| | 0.1645 | 0.7525 | 65 | 1.5864 | 3666096 | |
| | 0.0937 | 0.8104 | 70 | 1.4925 | 3946448 | |
| | 0.1406 | 0.8683 | 75 | 1.5310 | 4234720 | |
| | 0.1477 | 0.9262 | 80 | 1.5799 | 4512080 | |
| | 0.0654 | 0.9841 | 85 | 1.6488 | 4796248 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.44.0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
| |
