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End of training

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README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0689
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  ## Model description
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@@ -52,17 +52,17 @@ 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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- | 0.6675 | 2.86 | 20 | 0.5153 |
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- | 0.1621 | 5.71 | 40 | 0.1178 |
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- | 0.0369 | 8.57 | 60 | 0.0707 |
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- | 0.0179 | 11.43 | 80 | 0.0652 |
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- | 0.0138 | 14.29 | 100 | 0.0689 |
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  ### Framework versions
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- - PEFT 0.8.2
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  - Transformers 4.37.0
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  - Pytorch 2.1.2
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- - Datasets 2.17.1
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  - Tokenizers 0.15.1
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0141
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0245 | 1.25 | 20 | 0.9835 |
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+ | 0.833 | 2.5 | 40 | 0.9249 |
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+ | 0.7451 | 3.75 | 60 | 0.9172 |
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+ | 0.6741 | 5.0 | 80 | 0.9335 |
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+ | 0.5957 | 6.25 | 100 | 1.0141 |
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  ### Framework versions
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+ - PEFT 0.9.0
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  - Transformers 4.37.0
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  - Pytorch 2.1.2
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+ - Datasets 2.18.0
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  - Tokenizers 0.15.1
adapter_config.json CHANGED
@@ -23,5 +23,6 @@
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  "q_proj"
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  "task_type": "CAUSAL_LM",
 
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  "use_rslora": false
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  }
 
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  "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
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  }
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