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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_iter2_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-2-27b_hs2_replace_iter2_sftsd1 |
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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: 1.1843 |
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- Num Input Tokens Seen: 3808768 |
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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: 1 |
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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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| 2.5155 | 0.0608 | 5 | 1.0474 | 236020 | |
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| 2.3221 | 0.1216 | 10 | 1.0643 | 471208 | |
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| 1.8872 | 0.1824 | 15 | 1.0913 | 707824 | |
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| 1.5782 | 0.2432 | 20 | 1.1446 | 943300 | |
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| 1.3696 | 0.3040 | 25 | 1.1695 | 1175352 | |
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| 1.1143 | 0.3647 | 30 | 1.1811 | 1412980 | |
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| 1.1623 | 0.4255 | 35 | 1.1684 | 1635940 | |
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| 1.235 | 0.4863 | 40 | 1.1777 | 1866292 | |
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| 1.1213 | 0.5471 | 45 | 1.1692 | 2096140 | |
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| 1.125 | 0.6079 | 50 | 1.1775 | 2327208 | |
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| 1.0627 | 0.6687 | 55 | 1.1690 | 2561988 | |
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| 0.9847 | 0.7295 | 60 | 1.1899 | 2784360 | |
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| 1.0474 | 0.7903 | 65 | 1.1640 | 3017608 | |
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| 0.9585 | 0.8511 | 70 | 1.1777 | 3249220 | |
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| 0.9715 | 0.9119 | 75 | 1.1700 | 3485472 | |
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| 1.0036 | 0.9726 | 80 | 1.1909 | 3722208 | |
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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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