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final_LLama_kpi_qlora

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  1. README.md +7 -7
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1214
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  ## Model description
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@@ -33,7 +33,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 6e-05
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0828 | 0.18 | 800 | nan |
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- | 0.1073 | 0.37 | 1600 | 0.1464 |
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- | 0.0774 | 0.55 | 2400 | 0.1327 |
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- | 0.0626 | 0.73 | 3200 | 0.1265 |
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- | 0.0673 | 0.92 | 4000 | 0.1214 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1204
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.153 | 0.18 | 800 | 0.2036 |
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+ | 0.1809 | 0.37 | 1600 | 0.1842 |
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+ | 0.1 | 0.55 | 2400 | 0.1621 |
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+ | 0.0813 | 0.73 | 3200 | 0.1497 |
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+ | 0.0899 | 0.92 | 4000 | 0.1204 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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