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End of training

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  1. README.md +5 -5
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -99,7 +99,7 @@ xformers_attention: null
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  This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9864
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  ## Model description
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@@ -137,10 +137,10 @@ 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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  | 0.9943 | 0.0103 | 1 | 0.9864 |
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- | 0.9017 | 0.0206 | 2 | 0.9871 |
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- | 1.1002 | 0.0309 | 3 | 0.9883 |
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- | 0.8129 | 0.0412 | 4 | 0.9867 |
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- | 0.9206 | 0.0515 | 5 | 0.9864 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9856
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | 0.9943 | 0.0103 | 1 | 0.9864 |
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+ | 0.9017 | 0.0206 | 2 | 0.9875 |
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+ | 1.0974 | 0.0309 | 3 | 0.9870 |
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+ | 0.813 | 0.0412 | 4 | 0.9877 |
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+ | 0.9212 | 0.0515 | 5 | 0.9856 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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