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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: 2.3368
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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: 100
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  ### Training results
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@@ -55,6 +55,16 @@ The following hyperparameters were used during training:
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  | 2.4266 | 0.01 | 50 | 2.6972 |
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  | 2.4153 | 0.01 | 75 | 2.6181 |
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  | 2.3588 | 0.02 | 100 | 2.5695 |
 
 
 
 
 
 
 
 
 
 
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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: 2.2088
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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: 350
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  ### Training results
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  | 2.4266 | 0.01 | 50 | 2.6972 |
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  | 2.4153 | 0.01 | 75 | 2.6181 |
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  | 2.3588 | 0.02 | 100 | 2.5695 |
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+ | 2.3274 | 0.02 | 125 | 2.5427 |
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+ | 2.4054 | 0.02 | 150 | 2.5244 |
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+ | 2.3274 | 0.03 | 175 | 2.5144 |
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+ | 2.3042 | 0.03 | 200 | 2.4995 |
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+ | 2.3296 | 0.04 | 225 | 2.4898 |
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+ | 2.3621 | 0.04 | 250 | 2.4844 |
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+ | 2.2825 | 0.04 | 275 | 2.4756 |
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+ | 2.2932 | 0.05 | 300 | 2.4704 |
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+ | 2.3039 | 0.05 | 325 | 2.4691 |
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+ | 2.1392 | 0.06 | 350 | 2.4592 |
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  ### Framework versions
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