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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ 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-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3386
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  ## Model description
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@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 4
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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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- - training_steps: 4250
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  ### Training results
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@@ -221,6 +221,26 @@ The following hyperparameters were used during training:
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  | 2.506 | 0.67 | 4200 | 2.6239 |
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  | 2.4648 | 0.68 | 4225 | 2.6220 |
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  | 2.4507 | 0.68 | 4250 | 2.6230 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3329
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  ## Model description
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  - total_eval_batch_size: 4
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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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+ - training_steps: 4750
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  ### Training results
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  | 2.506 | 0.67 | 4200 | 2.6239 |
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  | 2.4648 | 0.68 | 4225 | 2.6220 |
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  | 2.4507 | 0.68 | 4250 | 2.6230 |
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+ | 2.512 | 0.68 | 4275 | 2.6233 |
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+ | 2.4447 | 0.69 | 4300 | 2.6223 |
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+ | 2.4966 | 0.69 | 4325 | 2.6233 |
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+ | 2.4802 | 0.7 | 4350 | 2.6223 |
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+ | 2.5423 | 0.7 | 4375 | 2.6211 |
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+ | 2.4769 | 0.7 | 4400 | 2.6219 |
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+ | 2.4902 | 0.71 | 4425 | 2.6215 |
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+ | 2.5369 | 0.71 | 4450 | 2.6231 |
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+ | 2.4059 | 0.72 | 4475 | 2.6215 |
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+ | 2.4218 | 0.72 | 4500 | 2.6203 |
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+ | 2.5241 | 0.72 | 4525 | 2.6187 |
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+ | 2.4926 | 0.73 | 4550 | 2.6165 |
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+ | 2.3994 | 0.73 | 4575 | 2.6169 |
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+ | 2.4045 | 0.74 | 4600 | 2.6113 |
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+ | 2.367 | 0.74 | 4625 | 2.6147 |
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+ | 2.5633 | 0.74 | 4650 | 2.6170 |
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+ | 2.4582 | 0.75 | 4675 | 2.6160 |
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+ | 2.4708 | 0.75 | 4700 | 2.6157 |
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+ | 2.4963 | 0.76 | 4725 | 2.6136 |
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+ | 2.4042 | 0.76 | 4750 | 2.6117 |
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  ### Framework versions
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