NanQiangHF
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NanQiangHF/llama3_8b_instruct_BWRM
Browse files- README.md +12 -18
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None 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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- total_train_batch_size: 1024
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3105 | 2.0242 | 220 | 0.3078 |
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| 0.2929 | 2.2082 | 240 | 0.2948 |
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| 0.2855 | 2.3922 | 260 | 0.2831 |
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| 0.2787 | 2.5762 | 280 | 0.2821 |
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| 0.2717 | 2.7602 | 300 | 0.2757 |
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| 0.2703 | 2.9442 | 320 | 0.2710 |
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2420
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## Model description
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- total_train_batch_size: 1024
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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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7073 | 0.4600 | 50 | 0.5674 |
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| 0.5127 | 0.9201 | 100 | 0.4938 |
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| 0.4164 | 1.3801 | 150 | 0.3664 |
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| 0.3712 | 1.8401 | 200 | 0.3447 |
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| 0.3255 | 2.3002 | 250 | 0.3387 |
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| 0.2926 | 2.7602 | 300 | 0.2809 |
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| 0.2725 | 3.2202 | 350 | 0.2721 |
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| 0.254 | 3.6803 | 400 | 0.2562 |
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| 0.2421 | 4.1403 | 450 | 0.2460 |
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| 0.228 | 4.6003 | 500 | 0.2420 |
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### Framework versions
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adapter_model.safetensors
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training_args.bin
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