marcus2000
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End of training
Browse files- README.md +18 -6
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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- total_train_batch_size: 20
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.
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### Framework versions
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This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7498
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## Model description
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- total_train_batch_size: 20
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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: 80
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.9766 | 0.13 | 5 | 1.9730 |
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| 1.8885 | 0.26 | 10 | 1.8875 |
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| 1.7781 | 0.39 | 15 | 1.8522 |
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| 1.7543 | 0.52 | 20 | 1.8314 |
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| 1.716 | 0.64 | 25 | 1.8151 |
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| 1.8085 | 0.77 | 30 | 1.8015 |
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| 1.6707 | 0.9 | 35 | 1.7902 |
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| 1.6972 | 1.03 | 40 | 1.7805 |
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| 1.6439 | 1.16 | 45 | 1.7728 |
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| 1.6487 | 1.29 | 50 | 1.7668 |
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| 1.5462 | 1.42 | 55 | 1.7606 |
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| 1.6728 | 1.55 | 60 | 1.7557 |
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| 1.6285 | 1.68 | 65 | 1.7520 |
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| 1.5609 | 1.8 | 70 | 1.7508 |
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| 1.5975 | 1.93 | 75 | 1.7500 |
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| 1.6035 | 2.06 | 80 | 1.7498 |
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### Framework versions
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adapter_model.safetensors
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training_args.bin
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