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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_iter7_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_accumulatesubsample_iter7_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: 1.1838 |
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- Num Input Tokens Seen: 5084280 |
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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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| 1.3084 | 0.0532 | 5 | 1.2703 | 275232 | |
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| 1.1373 | 0.1065 | 10 | 1.1957 | 547312 | |
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| 1.1446 | 0.1597 | 15 | 1.1790 | 822336 | |
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| 0.9553 | 0.2129 | 20 | 1.1806 | 1090224 | |
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| 0.8531 | 0.2661 | 25 | 1.2067 | 1364032 | |
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| 0.7999 | 0.3194 | 30 | 1.2086 | 1638152 | |
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| 0.8383 | 0.3726 | 35 | 1.2081 | 1910656 | |
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| 0.6788 | 0.4258 | 40 | 1.2046 | 2184752 | |
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| 0.5638 | 0.4790 | 45 | 1.2050 | 2460296 | |
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| 0.7359 | 0.5323 | 50 | 1.1890 | 2726344 | |
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| 0.5884 | 0.5855 | 55 | 1.2006 | 2997416 | |
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| 0.5682 | 0.6387 | 60 | 1.1961 | 3277152 | |
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| 0.5166 | 0.6919 | 65 | 1.1880 | 3552712 | |
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| 0.6191 | 0.7452 | 70 | 1.1862 | 3828400 | |
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| 0.4679 | 0.7984 | 75 | 1.1922 | 4104744 | |
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| 0.5175 | 0.8516 | 80 | 1.1861 | 4374456 | |
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| 0.4754 | 0.9049 | 85 | 1.1885 | 4650432 | |
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| 0.489 | 0.9581 | 90 | 1.1839 | 4922224 | |
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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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