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--- |
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license: gemma |
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library_name: peft |
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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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base_model: google/gemma-2b-it |
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model-index: |
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- name: gemma_FT_2 |
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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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# gemma_FT_2 |
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This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6202 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 12 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.0277 | 0.0005 | 1 | 3.5558 | |
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| 3.3686 | 0.0011 | 2 | 3.4906 | |
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| 3.285 | 0.0016 | 3 | 3.3311 | |
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| 3.025 | 0.0021 | 4 | 3.1640 | |
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| 3.2431 | 0.0026 | 5 | 3.0050 | |
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| 3.0431 | 0.0032 | 6 | 2.8713 | |
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| 2.3602 | 0.0037 | 7 | 2.7724 | |
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| 2.8696 | 0.0042 | 8 | 2.7056 | |
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| 2.6496 | 0.0047 | 9 | 2.6637 | |
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| 2.6983 | 0.0053 | 10 | 2.6401 | |
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| 2.2396 | 0.0058 | 11 | 2.6268 | |
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| 2.4519 | 0.0063 | 12 | 2.6202 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.41.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
