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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_sftsd2 |
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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_sftsd2 |
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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: 2.2138 |
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- Num Input Tokens Seen: 5073848 |
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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: 2 |
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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 | 1.3909 | 0 | |
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| 1.5334 | 0.0511 | 5 | 1.2716 | 258224 | |
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| 1.0476 | 0.1022 | 10 | 1.2402 | 516160 | |
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| 0.6789 | 0.1533 | 15 | 1.4191 | 780248 | |
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| 0.4452 | 0.2043 | 20 | 1.5919 | 1036256 | |
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| 0.2474 | 0.2554 | 25 | 1.7709 | 1301368 | |
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| 0.1388 | 0.3065 | 30 | 1.9171 | 1563976 | |
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| 0.1272 | 0.3576 | 35 | 2.0396 | 1822440 | |
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| 0.0532 | 0.4087 | 40 | 2.1483 | 2075376 | |
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| 0.051 | 0.4598 | 45 | 2.1510 | 2339344 | |
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| 0.0471 | 0.5109 | 50 | 2.2012 | 2612616 | |
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| 0.0398 | 0.5619 | 55 | 2.1902 | 2869216 | |
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| 0.0414 | 0.6130 | 60 | 2.2098 | 3123616 | |
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| 0.0326 | 0.6641 | 65 | 2.1951 | 3390016 | |
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| 0.0353 | 0.7152 | 70 | 2.1734 | 3658096 | |
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| 0.0301 | 0.7663 | 75 | 2.1824 | 3926288 | |
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| 0.0286 | 0.8174 | 80 | 2.1903 | 4184328 | |
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| 0.0316 | 0.8685 | 85 | 2.1851 | 4447976 | |
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| 0.0291 | 0.9195 | 90 | 2.2216 | 4705152 | |
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| 0.0276 | 0.9706 | 95 | 2.2168 | 4966096 | |
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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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