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--- |
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license: other |
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library_name: peft |
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tags: |
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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: shawgpt-ft |
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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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# shawgpt-ft |
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This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.8439 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 10 |
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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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| 6.9288 | 0.8 | 1 | 5.5505 | |
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| 6.9042 | 1.6 | 2 | 5.4949 | |
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| 6.7836 | 2.4 | 3 | 5.3725 | |
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| 3.2963 | 4.0 | 5 | 5.1469 | |
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| 6.4036 | 4.8 | 6 | 5.0534 | |
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| 6.2748 | 5.6 | 7 | 4.9738 | |
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| 6.1622 | 6.4 | 8 | 4.9099 | |
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| 3.0478 | 8.0 | 10 | 4.8439 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
