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mistral_7b_instruct_v0_1_txt_2_sql

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cnatale/mistral_7b_instruct_v0_1_txt_2_sql

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  1. README.md +9 -9
  2. adapter_model.safetensors +1 -1
  3. runs/Jan13_01-25-32_0aa7dc37db8d/events.out.tfevents.1705109134.0aa7dc37db8d.4536.0 +3 -0
  4. training_args.bin +1 -1
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: 0.6472
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  ## Model description
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@@ -53,14 +53,14 @@ 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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- | 1.3618 | 0.71 | 10 | 1.0800 |
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- | 1.0209 | 1.43 | 20 | 0.8791 |
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- | 0.8533 | 2.14 | 30 | 0.7781 |
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- | 0.7625 | 2.86 | 40 | 0.7243 |
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- | 0.7231 | 3.57 | 50 | 0.6825 |
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- | 0.6475 | 4.29 | 60 | 0.6602 |
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- | 0.6145 | 5.0 | 70 | 0.6470 |
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- | 0.5757 | 5.71 | 80 | 0.6472 |
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  ### Framework versions
 
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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: 0.6482
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3599 | 0.71 | 10 | 1.0764 |
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+ | 1.0005 | 1.43 | 20 | 0.8726 |
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+ | 0.8508 | 2.14 | 30 | 0.7721 |
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+ | 0.7585 | 2.86 | 40 | 0.7218 |
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+ | 0.7078 | 3.57 | 50 | 0.6825 |
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+ | 0.6413 | 4.29 | 60 | 0.6594 |
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+ | 0.6128 | 5.0 | 70 | 0.6508 |
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+ | 0.5745 | 5.71 | 80 | 0.6482 |
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  ### Framework versions
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