Model save
Browse files- README.md +5 -5
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +76 -76
README.md
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0122
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.39 | 0.9180 | 7 | 1.3376 |
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| 0.9541 | 1.9672 | 15 | 1.0215 |
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| 0.745 | 2.7541 | 21 | 1.0122 |
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### Framework versions
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all_results.json
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train_results.json
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