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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 +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: 2.4161
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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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  | 2.4658 | 0.25 | 1550 | 2.6736 |
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  | 2.5875 | 0.25 | 1575 | 2.6755 |
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  | 2.5376 | 0.26 | 1600 | 2.6705 |
 
 
 
 
 
 
 
 
 
 
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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: 2.4040
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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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  | 2.4658 | 0.25 | 1550 | 2.6736 |
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  | 2.5875 | 0.25 | 1575 | 2.6755 |
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  | 2.5376 | 0.26 | 1600 | 2.6705 |
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+ | 2.5466 | 0.26 | 1625 | 2.6726 |
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+ | 2.5889 | 0.26 | 1650 | 2.6704 |
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+ | 2.4973 | 0.27 | 1675 | 2.6667 |
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+ | 2.5409 | 0.27 | 1700 | 2.6681 |
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+ | 2.5386 | 0.28 | 1725 | 2.6658 |
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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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