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: 1.4008
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  ## Model description
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@@ -44,23 +44,25 @@ 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: 10
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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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- | 1.1392 | 0.9231 | 3 | 1.3117 |
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- | 1.0798 | 1.8462 | 6 | 1.3205 |
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- | 1.0056 | 2.7692 | 9 | 1.3275 |
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- | 0.7115 | 4.0 | 13 | 1.3498 |
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- | 0.9418 | 4.9231 | 16 | 1.3680 |
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- | 0.8846 | 5.8462 | 19 | 1.3849 |
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- | 0.8429 | 6.7692 | 22 | 1.3786 |
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- | 0.6394 | 8.0 | 26 | 1.4015 |
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- | 0.839 | 8.9231 | 29 | 1.4010 |
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- | 0.6082 | 9.2308 | 30 | 1.4008 |
 
 
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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: 1.5116
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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: 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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+ | 1.0283 | 0.9231 | 3 | 1.3097 |
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+ | 0.9868 | 1.8462 | 6 | 1.3728 |
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+ | 0.9174 | 2.7692 | 9 | 1.3527 |
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+ | 0.6429 | 4.0 | 13 | 1.4026 |
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+ | 0.8442 | 4.9231 | 16 | 1.4004 |
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+ | 0.7766 | 5.8462 | 19 | 1.4248 |
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+ | 0.7289 | 6.7692 | 22 | 1.4474 |
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+ | 0.543 | 8.0 | 26 | 1.4707 |
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+ | 0.6976 | 8.9231 | 29 | 1.4967 |
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+ | 0.6682 | 9.8462 | 32 | 1.5151 |
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+ | 0.6726 | 10.7692 | 35 | 1.5118 |
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+ | 0.1014 | 11.0769 | 36 | 1.5116 |
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  ### Framework versions
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