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Mistral_Sparse_refined_web_relu_2024-03-11

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 +14 -4
  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: 2.4040
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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: 1850
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  ### Training results
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@@ -123,8 +123,18 @@ The following hyperparameters were used during training:
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  | 2.5234 | 0.28 | 1750 | 2.6666 |
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  | 2.5066 | 0.28 | 1775 | 2.6619 |
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  | 2.4283 | 0.29 | 1800 | 2.6629 |
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- | 2.5256 | 0.29 | 1825 | 2.6619 |
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- | 2.5176 | 0.3 | 1850 | 2.6597 |
 
 
 
 
 
 
 
 
 
 
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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: 2.3931
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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: 2100
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  ### Training results
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  | 2.5234 | 0.28 | 1750 | 2.6666 |
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  | 2.5066 | 0.28 | 1775 | 2.6619 |
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  | 2.4283 | 0.29 | 1800 | 2.6629 |
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+ | 2.5253 | 0.29 | 1825 | 2.6623 |
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+ | 2.5179 | 0.3 | 1850 | 2.6599 |
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+ | 2.5023 | 0.3 | 1875 | 2.6608 |
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+ | 2.5253 | 0.3 | 1900 | 2.6602 |
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+ | 2.5788 | 0.31 | 1925 | 2.6602 |
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+ | 2.5307 | 0.31 | 1950 | 2.6596 |
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+ | 2.5108 | 0.32 | 1975 | 2.6593 |
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+ | 2.462 | 0.32 | 2000 | 2.6597 |
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+ | 2.5028 | 0.32 | 2025 | 2.6577 |
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+ | 2.48 | 0.33 | 2050 | 2.6538 |
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+ | 2.4742 | 0.33 | 2075 | 2.6534 |
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+ | 2.554 | 0.34 | 2100 | 2.6544 |
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  ### Framework versions
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