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NanQiangHF
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llama3_8b_instruct_BWRM

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Safetensors
llama
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NanQiangHF/llama3_8b_instruct_BWRM

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  1. README.md +12 -18
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2710
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  ## Model description
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@@ -43,28 +43,22 @@ The following hyperparameters were used during training:
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.8058 | 0.1840 | 20 | 0.5918 |
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- | 0.5986 | 0.3680 | 40 | 0.5643 |
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- | 0.5513 | 0.5520 | 60 | 0.5113 |
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- | 0.5039 | 0.7361 | 80 | 0.4433 |
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- | 0.4539 | 0.9201 | 100 | 0.4424 |
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- | 0.4083 | 1.1041 | 120 | 0.4024 |
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- | 0.3823 | 1.2881 | 140 | 0.3805 |
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- | 0.3644 | 1.4721 | 160 | 0.3400 |
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- | 0.336 | 1.6561 | 180 | 0.3206 |
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- | 0.3314 | 1.8401 | 200 | 0.3185 |
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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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training_args.bin CHANGED
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