End of training
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- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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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- training_steps:
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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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| 0.0058 | 3.96 | 440 | 0.0336 |
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| 0.0026 | 4.32 | 480 | 0.0484 |
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| 0.0016 | 4.68 | 520 | 0.0455 |
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| 0.0021 | 5.05 | 560 | 0.0439 |
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| 0.0008 | 5.41 | 600 | 0.0455 |
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### Framework versions
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This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0345
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## Model description
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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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- training_steps: 400
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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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| 0.1281 | 0.36 | 40 | 0.0380 |
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| 0.0358 | 0.72 | 80 | 0.0314 |
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| 0.0296 | 1.08 | 120 | 0.0263 |
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| 0.0211 | 1.44 | 160 | 0.0254 |
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| 0.0203 | 1.8 | 200 | 0.0236 |
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| 0.0163 | 2.16 | 240 | 0.0273 |
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| 0.0115 | 2.52 | 280 | 0.0276 |
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| 0.0105 | 2.88 | 320 | 0.0265 |
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| 0.0081 | 3.24 | 360 | 0.0306 |
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| 0.0046 | 3.6 | 400 | 0.0345 |
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### Framework versions
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adapter_model.bin
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training_args.bin
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