End of training
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README.md
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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## Model description
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- total_eval_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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- training_steps:
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### Training results
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| 2.2423 | 0.18 | 550 | 2.4298 |
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| 2.3666 | 0.18 | 575 | 2.4293 |
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| 2.259 | 0.19 | 600 | 2.4298 |
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1904
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## Model description
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- total_eval_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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- training_steps: 800
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### Training results
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| 2.2423 | 0.18 | 550 | 2.4298 |
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| 2.3666 | 0.18 | 575 | 2.4293 |
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| 2.259 | 0.19 | 600 | 2.4298 |
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| 2.2786 | 0.2 | 625 | 2.4290 |
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| 2.3493 | 0.21 | 650 | 2.4275 |
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| 2.2532 | 0.22 | 675 | 2.4255 |
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| 2.2698 | 0.22 | 700 | 2.4233 |
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| 2.2949 | 0.23 | 725 | 2.4277 |
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| 2.1918 | 0.24 | 750 | 2.4268 |
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| 2.2762 | 0.25 | 775 | 2.4243 |
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| 2.3221 | 0.26 | 800 | 2.4256 |
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### Framework versions
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model-00001-of-00003.safetensors
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