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llama3.1_8b_bwgenerator

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  1. README.md +12 -12
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1800
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  ## Model description
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@@ -51,17 +51,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.8005 | 0.2585 | 10 | 0.8775 |
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- | 0.566 | 0.5170 | 20 | 0.3490 |
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- | 0.3069 | 0.7754 | 30 | 0.2729 |
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- | 0.2549 | 1.0339 | 40 | 0.2407 |
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- | 0.23 | 1.2924 | 50 | 0.2208 |
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- | 0.2139 | 1.5509 | 60 | 0.2083 |
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- | 0.2039 | 1.8094 | 70 | 0.1989 |
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- | 0.1946 | 2.0679 | 80 | 0.1912 |
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- | 0.1869 | 2.3263 | 90 | 0.1855 |
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- | 0.1826 | 2.5848 | 100 | 0.1822 |
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- | 0.1802 | 2.8433 | 110 | 0.1800 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1856
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.8017 | 0.2585 | 10 | 0.8807 |
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+ | 0.5653 | 0.5170 | 20 | 0.3488 |
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+ | 0.3026 | 0.7754 | 30 | 0.2705 |
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+ | 0.255 | 1.0339 | 40 | 0.2418 |
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+ | 0.2307 | 1.2924 | 50 | 0.2223 |
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+ | 0.2157 | 1.5509 | 60 | 0.2099 |
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+ | 0.206 | 1.8094 | 70 | 0.2021 |
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+ | 0.1978 | 2.0679 | 80 | 0.1962 |
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+ | 0.1913 | 2.3263 | 90 | 0.1910 |
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+ | 0.1882 | 2.5848 | 100 | 0.1877 |
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+ | 0.1861 | 2.8433 | 110 | 0.1856 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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