FrederikKlinkby commited on
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shawgpt-ft-rank15

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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: 1.4906
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  ## Model description
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@@ -44,25 +44,27 @@ 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: 12
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | 4.5923 | 0.9231 | 3 | 3.9658 |
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- | 4.0441 | 1.8462 | 6 | 3.4365 |
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- | 3.451 | 2.7692 | 9 | 2.9600 |
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- | 2.2208 | 4.0 | 13 | 2.4960 |
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- | 2.5836 | 4.9231 | 16 | 2.2153 |
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- | 2.2284 | 5.8462 | 19 | 1.9993 |
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- | 1.9357 | 6.7692 | 22 | 1.7904 |
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- | 1.3278 | 8.0 | 26 | 1.6449 |
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- | 1.6406 | 8.9231 | 29 | 1.5613 |
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- | 1.5307 | 9.8462 | 32 | 1.5156 |
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- | 1.5151 | 10.7692 | 35 | 1.4931 |
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- | 0.2742 | 11.0769 | 36 | 1.4906 |
 
 
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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: 1.3663
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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: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 4.5909 | 0.9231 | 3 | 3.9607 |
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+ | 4.0305 | 1.8462 | 6 | 3.4190 |
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+ | 3.4227 | 2.7692 | 9 | 2.9340 |
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+ | 2.2008 | 4.0 | 13 | 2.4790 |
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+ | 2.5483 | 4.9231 | 16 | 2.1770 |
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+ | 2.1551 | 5.8462 | 19 | 1.9264 |
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+ | 1.8321 | 6.7692 | 22 | 1.7147 |
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+ | 1.2386 | 8.0 | 26 | 1.5355 |
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+ | 1.4952 | 8.9231 | 29 | 1.4535 |
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+ | 1.3923 | 9.8462 | 32 | 1.4129 |
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+ | 1.3843 | 10.7692 | 35 | 1.3921 |
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+ | 0.9917 | 12.0 | 39 | 1.3751 |
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+ | 1.3332 | 12.9231 | 42 | 1.3687 |
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+ | 1.1067 | 13.8462 | 45 | 1.3663 |
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  ### Framework versions
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