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--- |
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license: gemma |
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base_model: google/gemma-2-2b |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: collapse_gemma-2-2b_hs2_replace_iter4_sftsd1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# collapse_gemma-2-2b_hs2_replace_iter4_sftsd1 |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2615 |
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- Num Input Tokens Seen: 8543104 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 8e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 1 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| No log | 0 | 0 | 1.3956 | 0 | |
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| 1.5484 | 0.0318 | 5 | 1.3101 | 278776 | |
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| 1.085 | 0.0636 | 10 | 1.2389 | 553696 | |
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| 0.9004 | 0.0954 | 15 | 1.2791 | 827056 | |
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| 0.6616 | 0.1272 | 20 | 1.4012 | 1104568 | |
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| 0.4986 | 0.1590 | 25 | 1.5346 | 1374176 | |
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| 0.3579 | 0.1908 | 30 | 1.6346 | 1652112 | |
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| 0.174 | 0.2226 | 35 | 1.8294 | 1920080 | |
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| 0.1501 | 0.2544 | 40 | 1.9929 | 2190160 | |
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| 0.0726 | 0.2862 | 45 | 2.1418 | 2461008 | |
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| 0.0577 | 0.3180 | 50 | 2.2236 | 2733848 | |
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| 0.0399 | 0.3498 | 55 | 2.2644 | 3013016 | |
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| 0.04 | 0.3816 | 60 | 2.2704 | 3278704 | |
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| 0.0398 | 0.4134 | 65 | 2.2606 | 3562656 | |
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| 0.0475 | 0.4452 | 70 | 2.2814 | 3834984 | |
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| 0.0332 | 0.4769 | 75 | 2.2999 | 4109144 | |
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| 0.0352 | 0.5087 | 80 | 2.2843 | 4381312 | |
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| 0.0369 | 0.5405 | 85 | 2.2426 | 4652664 | |
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| 0.0333 | 0.5723 | 90 | 2.2229 | 4923152 | |
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| 0.029 | 0.6041 | 95 | 2.2462 | 5195000 | |
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| 0.0306 | 0.6359 | 100 | 2.2501 | 5458808 | |
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| 0.0307 | 0.6677 | 105 | 2.2394 | 5732184 | |
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| 0.0367 | 0.6995 | 110 | 2.2141 | 6004504 | |
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| 0.03 | 0.7313 | 115 | 2.2083 | 6272888 | |
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| 0.0282 | 0.7631 | 120 | 2.2138 | 6546192 | |
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| 0.0288 | 0.7949 | 125 | 2.2392 | 6808560 | |
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| 0.0292 | 0.8267 | 130 | 2.2351 | 7076096 | |
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| 0.028 | 0.8585 | 135 | 2.2202 | 7349312 | |
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| 0.0303 | 0.8903 | 140 | 2.2292 | 7627368 | |
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| 0.0285 | 0.9221 | 145 | 2.2498 | 7893744 | |
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| 0.0261 | 0.9539 | 150 | 2.2720 | 8162232 | |
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| 0.0317 | 0.9857 | 155 | 2.2699 | 8431896 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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