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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| 2.2974 | 0.11 | 350 | 2.4353 |
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| 2.2216 | 0.12 | 375 | 2.4379 |
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| 2.3179 | 0.13 | 400 | 2.4340 |
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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: 2.1991
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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: 600
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### Training results
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| 2.2974 | 0.11 | 350 | 2.4353 |
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| 2.2216 | 0.12 | 375 | 2.4379 |
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| 2.3179 | 0.13 | 400 | 2.4340 |
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| 2.3006 | 0.14 | 425 | 2.4333 |
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| 2.2603 | 0.14 | 450 | 2.4333 |
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| 2.3371 | 0.15 | 475 | 2.4384 |
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| 2.3453 | 0.16 | 500 | 2.4328 |
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| 2.254 | 0.17 | 525 | 2.4306 |
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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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model-00001-of-00003.safetensors
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