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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_accumulatesubsample_iter6_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_accumulatesubsample_iter6_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: 1.1630 |
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- Num Input Tokens Seen: 5028016 |
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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 | 1.3909 | 0 | |
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| 1.4282 | 0.0533 | 5 | 1.2707 | 272080 | |
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| 1.0872 | 0.1065 | 10 | 1.1923 | 534176 | |
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| 1.0069 | 0.1598 | 15 | 1.1791 | 810424 | |
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| 0.9708 | 0.2130 | 20 | 1.1779 | 1085464 | |
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| 0.841 | 0.2663 | 25 | 1.1966 | 1354360 | |
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| 0.7559 | 0.3196 | 30 | 1.2040 | 1626064 | |
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| 0.726 | 0.3728 | 35 | 1.1940 | 1897496 | |
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| 0.7034 | 0.4261 | 40 | 1.1953 | 2174648 | |
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| 0.5682 | 0.4794 | 45 | 1.1947 | 2445704 | |
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| 0.575 | 0.5326 | 50 | 1.1886 | 2714920 | |
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| 0.566 | 0.5859 | 55 | 1.1807 | 2982200 | |
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| 0.5243 | 0.6391 | 60 | 1.1784 | 3246752 | |
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| 0.5905 | 0.6924 | 65 | 1.1718 | 3518224 | |
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| 0.473 | 0.7457 | 70 | 1.1766 | 3783208 | |
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| 0.5029 | 0.7989 | 75 | 1.1662 | 4047576 | |
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| 0.5819 | 0.8522 | 80 | 1.1747 | 4321368 | |
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| 0.5147 | 0.9055 | 85 | 1.1620 | 4594208 | |
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| 0.4796 | 0.9587 | 90 | 1.1722 | 4862792 | |
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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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