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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_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-2-27b_hs2_replace_iter4_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: 1.3439 |
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- Num Input Tokens Seen: 3102268 |
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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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| 4.2255 | 0.0908 | 5 | 1.0942 | 282080 | |
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| 4.0729 | 0.1816 | 10 | 1.1872 | 565872 | |
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| 3.8441 | 0.2724 | 15 | 1.2395 | 844816 | |
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| 3.6873 | 0.3632 | 20 | 1.3028 | 1127332 | |
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| 3.5368 | 0.4540 | 25 | 1.3094 | 1411096 | |
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| 3.3857 | 0.5448 | 30 | 1.3313 | 1691864 | |
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| 3.2977 | 0.6356 | 35 | 1.3384 | 1975384 | |
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| 3.3165 | 0.7264 | 40 | 1.3339 | 2258476 | |
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| 3.1495 | 0.8173 | 45 | 1.3452 | 2540700 | |
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| 3.1388 | 0.9081 | 50 | 1.3515 | 2820672 | |
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| 3.0977 | 0.9989 | 55 | 1.3439 | 3102268 | |
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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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