| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter2_sftsd2 |
| | 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_sftsd2 |
| | |
| | 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: 1.5087 |
| | - Num Input Tokens Seen: 7865232 |
| | |
| | ## 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 | 1.3956 | 0 | |
| | | 1.7513 | 0.0345 | 5 | 1.3040 | 274624 | |
| | | 1.4363 | 0.0690 | 10 | 1.1967 | 546200 | |
| | | 1.2021 | 0.1035 | 15 | 1.1697 | 817584 | |
| | | 1.0165 | 0.1380 | 20 | 1.1870 | 1088176 | |
| | | 0.9588 | 0.1725 | 25 | 1.2338 | 1358336 | |
| | | 0.856 | 0.2070 | 30 | 1.3377 | 1637992 | |
| | | 0.6142 | 0.2415 | 35 | 1.3806 | 1911376 | |
| | | 0.5705 | 0.2760 | 40 | 1.4600 | 2181176 | |
| | | 0.5098 | 0.3105 | 45 | 1.5034 | 2462856 | |
| | | 0.3225 | 0.3450 | 50 | 1.5081 | 2737752 | |
| | | 0.3129 | 0.3795 | 55 | 1.5481 | 3012656 | |
| | | 0.3444 | 0.4140 | 60 | 1.4783 | 3279744 | |
| | | 0.2324 | 0.4485 | 65 | 1.4703 | 3547808 | |
| | | 0.234 | 0.4830 | 70 | 1.4699 | 3817328 | |
| | | 0.2621 | 0.5175 | 75 | 1.4305 | 4097184 | |
| | | 0.1199 | 0.5520 | 80 | 1.4580 | 4367848 | |
| | | 0.1915 | 0.5865 | 85 | 1.4274 | 4640592 | |
| | | 0.2214 | 0.6210 | 90 | 1.4877 | 4922032 | |
| | | 0.1506 | 0.6555 | 95 | 1.4413 | 5193088 | |
| | | 0.1584 | 0.6900 | 100 | 1.4564 | 5464864 | |
| | | 0.2169 | 0.7245 | 105 | 1.4504 | 5739032 | |
| | | 0.1219 | 0.7589 | 110 | 1.4286 | 6012736 | |
| | | 0.1687 | 0.7934 | 115 | 1.4840 | 6274808 | |
| | | 0.1776 | 0.8279 | 120 | 1.4578 | 6548312 | |
| | | 0.1197 | 0.8624 | 125 | 1.4703 | 6821112 | |
| | | 0.1035 | 0.8969 | 130 | 1.4563 | 7098736 | |
| | | 0.1298 | 0.9314 | 135 | 1.4510 | 7369552 | |
| | | 0.0958 | 0.9659 | 140 | 1.4814 | 7640632 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
