| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter5_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_iter5_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: 2.3657 |
| | - Num Input Tokens Seen: 8077024 |
| | |
| | ## 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 | 1.3956 | 0 | |
| | | 1.6417 | 0.0316 | 5 | 1.3077 | 259488 | |
| | | 1.2388 | 0.0632 | 10 | 1.2367 | 506760 | |
| | | 0.8793 | 0.0947 | 15 | 1.2729 | 765824 | |
| | | 0.6917 | 0.1263 | 20 | 1.4184 | 1019280 | |
| | | 0.4293 | 0.1579 | 25 | 1.5732 | 1271416 | |
| | | 0.2959 | 0.1895 | 30 | 1.6498 | 1515792 | |
| | | 0.2466 | 0.2211 | 35 | 1.8461 | 1771464 | |
| | | 0.1581 | 0.2527 | 40 | 1.9813 | 2020528 | |
| | | 0.0765 | 0.2842 | 45 | 2.1203 | 2277040 | |
| | | 0.0524 | 0.3158 | 50 | 2.2317 | 2527976 | |
| | | 0.0539 | 0.3474 | 55 | 2.3208 | 2784520 | |
| | | 0.0348 | 0.3790 | 60 | 2.3321 | 3041696 | |
| | | 0.0366 | 0.4106 | 65 | 2.3404 | 3300560 | |
| | | 0.037 | 0.4422 | 70 | 2.3494 | 3547576 | |
| | | 0.0324 | 0.4737 | 75 | 2.3125 | 3810280 | |
| | | 0.0307 | 0.5053 | 80 | 2.2571 | 4069032 | |
| | | 0.0281 | 0.5369 | 85 | 2.2877 | 4323872 | |
| | | 0.0289 | 0.5685 | 90 | 2.3183 | 4583064 | |
| | | 0.0304 | 0.6001 | 95 | 2.3403 | 4844432 | |
| | | 0.0272 | 0.6317 | 100 | 2.3549 | 5101512 | |
| | | 0.0276 | 0.6632 | 105 | 2.3650 | 5358960 | |
| | | 0.0306 | 0.6948 | 110 | 2.3604 | 5616864 | |
| | | 0.0282 | 0.7264 | 115 | 2.3438 | 5877496 | |
| | | 0.0288 | 0.7580 | 120 | 2.3419 | 6129360 | |
| | | 0.0281 | 0.7896 | 125 | 2.3471 | 6382240 | |
| | | 0.0305 | 0.8212 | 130 | 2.3799 | 6635400 | |
| | | 0.0295 | 0.8527 | 135 | 2.3850 | 6889824 | |
| | | 0.0294 | 0.8843 | 140 | 2.3463 | 7146448 | |
| | | 0.0258 | 0.9159 | 145 | 2.3439 | 7407840 | |
| | | 0.0272 | 0.9475 | 150 | 2.3552 | 7662520 | |
| | | 0.0263 | 0.9791 | 155 | 2.3712 | 7923432 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
