| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter7_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_iter7_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: 2.5277 |
| | - Num Input Tokens Seen: 7940992 |
| | |
| | ## 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 | |
| | | 1.5364 | 0.0316 | 5 | 1.3068 | 253784 | |
| | | 1.1259 | 0.0632 | 10 | 1.2465 | 510904 | |
| | | 0.6887 | 0.0947 | 15 | 1.3550 | 769904 | |
| | | 0.5128 | 0.1263 | 20 | 1.5270 | 1016400 | |
| | | 0.3194 | 0.1579 | 25 | 1.6846 | 1268560 | |
| | | 0.1918 | 0.1895 | 30 | 1.8390 | 1517032 | |
| | | 0.1256 | 0.2211 | 35 | 2.0239 | 1770608 | |
| | | 0.0896 | 0.2527 | 40 | 2.2047 | 2023392 | |
| | | 0.0555 | 0.2842 | 45 | 2.3706 | 2273832 | |
| | | 0.0402 | 0.3158 | 50 | 2.4122 | 2529912 | |
| | | 0.0338 | 0.3474 | 55 | 2.4354 | 2783520 | |
| | | 0.0345 | 0.3790 | 60 | 2.3862 | 3030728 | |
| | | 0.0281 | 0.4106 | 65 | 2.4360 | 3277464 | |
| | | 0.0285 | 0.4422 | 70 | 2.4702 | 3520992 | |
| | | 0.0296 | 0.4737 | 75 | 2.4709 | 3770984 | |
| | | 0.0284 | 0.5053 | 80 | 2.5290 | 4026776 | |
| | | 0.0254 | 0.5369 | 85 | 2.5619 | 4275136 | |
| | | 0.0288 | 0.5685 | 90 | 2.5185 | 4524936 | |
| | | 0.026 | 0.6001 | 95 | 2.4887 | 4781848 | |
| | | 0.0265 | 0.6317 | 100 | 2.4976 | 5021704 | |
| | | 0.0254 | 0.6632 | 105 | 2.4820 | 5274368 | |
| | | 0.0322 | 0.6948 | 110 | 2.4803 | 5529272 | |
| | | 0.0308 | 0.7264 | 115 | 2.4894 | 5783496 | |
| | | 0.0263 | 0.7580 | 120 | 2.5027 | 6034168 | |
| | | 0.0254 | 0.7896 | 125 | 2.4805 | 6291808 | |
| | | 0.0263 | 0.8212 | 130 | 2.4729 | 6544088 | |
| | | 0.0335 | 0.8527 | 135 | 2.4893 | 6791616 | |
| | | 0.0264 | 0.8843 | 140 | 2.5056 | 7045456 | |
| | | 0.0251 | 0.9159 | 145 | 2.5100 | 7294288 | |
| | | 0.0245 | 0.9475 | 150 | 2.5167 | 7548384 | |
| | | 0.0277 | 0.9791 | 155 | 2.5252 | 7791720 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
