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--- |
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license: gemma |
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base_model: google/gemma-2-27b |
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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-2-27b_hs2_replace_iter3_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-2-27b_hs2_replace_iter3_sftsd2 |
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This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2906 |
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- Num Input Tokens Seen: 3849248 |
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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: 4 |
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- eval_batch_size: 16 |
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- seed: 2 |
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- gradient_accumulation_steps: 32 |
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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 | 1.1282 | 0 | |
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| 3.9495 | 0.0656 | 5 | 1.0675 | 257040 | |
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| 3.6648 | 0.1311 | 10 | 1.1421 | 509700 | |
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| 3.4127 | 0.1967 | 15 | 1.1791 | 758008 | |
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| 3.3226 | 0.2623 | 20 | 1.2243 | 1018792 | |
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| 3.0561 | 0.3279 | 25 | 1.2610 | 1268784 | |
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| 2.9523 | 0.3934 | 30 | 1.2649 | 1519000 | |
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| 2.7744 | 0.4590 | 35 | 1.2769 | 1772404 | |
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| 2.7413 | 0.5246 | 40 | 1.2763 | 2028800 | |
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| 2.554 | 0.5902 | 45 | 1.2870 | 2281292 | |
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| 2.4988 | 0.6557 | 50 | 1.2886 | 2529200 | |
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| 2.6288 | 0.7213 | 55 | 1.2899 | 2791768 | |
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| 2.4897 | 0.7869 | 60 | 1.2956 | 3044012 | |
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| 2.6199 | 0.8525 | 65 | 1.2915 | 3299772 | |
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| 2.4062 | 0.9180 | 70 | 1.2969 | 3550872 | |
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| 2.2421 | 0.9836 | 75 | 1.2894 | 3799436 | |
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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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