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End of training
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README.md
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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
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model-index:
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- name: gemma-finetuning
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# gemma-finetuning
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on
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## Model description
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 593
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### Framework versions
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- PEFT 0.10.0
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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base_model: google/gemma-2b
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model-index:
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- name: gemma-finetuning
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# gemma-finetuning
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1674
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## Model description
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 593
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.8606 | 0.82 | 100 | 2.5425 |
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| 2.4479 | 1.64 | 200 | 2.3304 |
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| 2.3077 | 2.46 | 300 | 2.2351 |
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| 2.2398 | 3.28 | 400 | 2.1914 |
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| 2.2083 | 4.1 | 500 | 2.1674 |
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### Framework versions
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- PEFT 0.10.0
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