| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter8_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_iter8_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: 2.6211 |
| | - Num Input Tokens Seen: 7818184 |
| | |
| | ## 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 | |
| | | 1.6108 | 0.0315 | 5 | 1.3097 | 239488 | |
| | | 1.2048 | 0.0630 | 10 | 1.2514 | 488880 | |
| | | 0.7736 | 0.0945 | 15 | 1.3428 | 739832 | |
| | | 0.4942 | 0.1259 | 20 | 1.5487 | 988640 | |
| | | 0.3684 | 0.1574 | 25 | 1.6597 | 1234208 | |
| | | 0.2257 | 0.1889 | 30 | 1.8226 | 1477784 | |
| | | 0.104 | 0.2204 | 35 | 2.0198 | 1730776 | |
| | | 0.079 | 0.2519 | 40 | 2.1574 | 1971328 | |
| | | 0.0504 | 0.2834 | 45 | 2.3647 | 2217856 | |
| | | 0.0368 | 0.3148 | 50 | 2.4414 | 2465200 | |
| | | 0.0362 | 0.3463 | 55 | 2.5177 | 2715224 | |
| | | 0.0347 | 0.3778 | 60 | 2.5495 | 2963688 | |
| | | 0.0318 | 0.4093 | 65 | 2.5692 | 3204352 | |
| | | 0.0298 | 0.4408 | 70 | 2.5663 | 3455912 | |
| | | 0.026 | 0.4723 | 75 | 2.5764 | 3694848 | |
| | | 0.0277 | 0.5037 | 80 | 2.5583 | 3950488 | |
| | | 0.0251 | 0.5352 | 85 | 2.5831 | 4197448 | |
| | | 0.03 | 0.5667 | 90 | 2.6005 | 4438720 | |
| | | 0.0247 | 0.5982 | 95 | 2.5882 | 4687496 | |
| | | 0.024 | 0.6297 | 100 | 2.5853 | 4937840 | |
| | | 0.0245 | 0.6612 | 105 | 2.6122 | 5185648 | |
| | | 0.0259 | 0.6926 | 110 | 2.6367 | 5428648 | |
| | | 0.0261 | 0.7241 | 115 | 2.6511 | 5673016 | |
| | | 0.0276 | 0.7556 | 120 | 2.6375 | 5923456 | |
| | | 0.0257 | 0.7871 | 125 | 2.6391 | 6177184 | |
| | | 0.0255 | 0.8186 | 130 | 2.6434 | 6421672 | |
| | | 0.025 | 0.8501 | 135 | 2.6282 | 6667984 | |
| | | 0.0265 | 0.8815 | 140 | 2.6097 | 6917840 | |
| | | 0.0258 | 0.9130 | 145 | 2.6087 | 7163648 | |
| | | 0.0243 | 0.9445 | 150 | 2.6101 | 7416408 | |
| | | 0.0237 | 0.9760 | 155 | 2.6211 | 7665640 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
