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Mistral_Sparse_refined_web_70p_2024-03-12

Text Generation
Transformers
Safetensors
sparse_mistral
Generated from Trainer
custom_code
Model card Files Community
vxbrandon commited on
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End of training

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  1. README.md +12 -2
  2. model-00001-of-00003.safetensors +1 -1
  3. model-00002-of-00003.safetensors +1 -1
  4. model-00003-of-00003.safetensors +1 -1
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: 2.1505
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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: 1600
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  ### Training results
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@@ -115,6 +115,16 @@ The following hyperparameters were used during training:
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  | 2.2145 | 0.25 | 1550 | 2.4167 |
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  | 2.3312 | 0.25 | 1575 | 2.4187 |
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  | 2.2897 | 0.26 | 1600 | 2.4193 |
 
 
 
 
 
 
 
 
 
 
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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: 2.1475
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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: 1850
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  ### Training results
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  | 2.2145 | 0.25 | 1550 | 2.4167 |
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  | 2.3312 | 0.25 | 1575 | 2.4187 |
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  | 2.2897 | 0.26 | 1600 | 2.4193 |
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+ | 2.2592 | 0.26 | 1625 | 2.4170 |
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+ | 2.3402 | 0.26 | 1650 | 2.4137 |
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+ | 2.2354 | 0.27 | 1675 | 2.4165 |
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+ | 2.2839 | 0.27 | 1700 | 2.4173 |
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+ | 2.2681 | 0.28 | 1725 | 2.4177 |
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+ | 2.2501 | 0.28 | 1750 | 2.4154 |
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+ | 2.232 | 0.28 | 1775 | 2.4138 |
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+ | 2.1882 | 0.29 | 1800 | 2.4142 |
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+ | 2.2688 | 0.29 | 1825 | 2.4123 |
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+ | 2.2668 | 0.3 | 1850 | 2.4117 |
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  ### Framework versions
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