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bala3040/team_dpb

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README.md CHANGED
@@ -16,7 +16,12 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5664
 
 
 
 
 
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  ## Model description
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@@ -47,22 +52,6 @@ The following hyperparameters were used during training:
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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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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 2.092 | 0.92 | 9 | 1.4516 |
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- | 1.0312 | 1.95 | 19 | 0.7849 |
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- | 0.5407 | 2.97 | 29 | 0.5922 |
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- | 0.4035 | 4.0 | 39 | 0.5433 |
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- | 0.3684 | 4.92 | 48 | 0.5227 |
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- | 0.2708 | 5.95 | 58 | 0.5200 |
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- | 0.2348 | 6.97 | 68 | 0.5358 |
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- | 0.2091 | 8.0 | 78 | 0.5485 |
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- | 0.2125 | 8.92 | 87 | 0.5655 |
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- | 0.1607 | 9.23 | 90 | 0.5664 |
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-
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-
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  ### Framework versions
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  - PEFT 0.10.0
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.4806
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+ - eval_runtime: 106.6233
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+ - eval_samples_per_second: 0.816
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+ - eval_steps_per_second: 0.816
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+ - epoch: 8.0
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+ - step: 160
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  ## Model description
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.10.0
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  "bias": "none",
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  "inference_mode": true,
 
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