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datajose/pruebas-ft

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README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1762
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  ## Model description
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@@ -44,32 +44,22 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 2
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- - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 4.0698 | 0.96 | 20 | 3.1762 |
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- | 3.8745 | 1.98 | 41 | 3.1762 |
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- | 3.8712 | 2.99 | 62 | 3.1762 |
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- | 3.8708 | 4.0 | 83 | 3.1762 |
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- | 4.0664 | 4.96 | 103 | 3.1762 |
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- | 3.8739 | 5.98 | 124 | 3.1762 |
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- | 3.8743 | 6.99 | 145 | 3.1762 |
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- | 3.8717 | 8.0 | 166 | 3.1762 |
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- | 4.0685 | 8.96 | 186 | 3.1762 |
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- | 3.8727 | 9.98 | 207 | 3.1762 |
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- | 3.8712 | 10.99 | 228 | 3.1762 |
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- | 3.8747 | 12.0 | 249 | 3.1762 |
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- | 4.0631 | 12.96 | 269 | 3.1762 |
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- | 3.8709 | 13.98 | 290 | 3.1762 |
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- | 3.8746 | 14.99 | 311 | 3.1762 |
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- | 3.8771 | 16.0 | 332 | 3.1762 |
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- | 4.0657 | 16.96 | 352 | 3.1762 |
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- | 3.8752 | 17.98 | 373 | 3.1762 |
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- | 3.8724 | 18.99 | 394 | 3.1762 |
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- | 3.7421 | 19.28 | 400 | 3.1762 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3561
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 2
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.0698 | 0.96 | 20 | 3.3561 |
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+ | 3.8745 | 1.98 | 41 | 3.3561 |
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+ | 3.8712 | 2.99 | 62 | 3.3561 |
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+ | 3.8708 | 4.0 | 83 | 3.3561 |
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+ | 4.0664 | 4.96 | 103 | 3.3561 |
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+ | 3.8739 | 5.98 | 124 | 3.3561 |
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+ | 3.8743 | 6.99 | 145 | 3.3561 |
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+ | 3.8717 | 8.0 | 166 | 3.3561 |
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+ | 4.0685 | 8.96 | 186 | 3.3561 |
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+ | 3.7098 | 9.64 | 200 | 3.3561 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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