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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: 2.6835
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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: 350
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  ### Training results
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@@ -63,8 +63,18 @@ The following hyperparameters were used during training:
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  | 2.9928 | 0.04 | 250 | 3.1153 |
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  | 2.8555 | 0.04 | 275 | 3.0392 |
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  | 2.8289 | 0.05 | 300 | 2.9870 |
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- | 2.7925 | 0.05 | 325 | 2.9507 |
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- | 2.6079 | 0.06 | 350 | 2.9163 |
 
 
 
 
 
 
 
 
 
 
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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: 2.5401
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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: 600
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  ### Training results
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  | 2.9928 | 0.04 | 250 | 3.1153 |
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  | 2.8555 | 0.04 | 275 | 3.0392 |
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  | 2.8289 | 0.05 | 300 | 2.9870 |
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+ | 2.7933 | 0.05 | 325 | 2.9505 |
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+ | 2.6073 | 0.06 | 350 | 2.9160 |
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+ | 2.7488 | 0.06 | 375 | 2.8941 |
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+ | 2.7795 | 0.06 | 400 | 2.8722 |
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+ | 2.7317 | 0.07 | 425 | 2.8537 |
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+ | 2.6982 | 0.07 | 450 | 2.8407 |
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+ | 2.5823 | 0.08 | 475 | 2.8258 |
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+ | 2.6419 | 0.08 | 500 | 2.8164 |
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+ | 2.7195 | 0.08 | 525 | 2.8082 |
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+ | 2.6239 | 0.09 | 550 | 2.7980 |
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+ | 2.7273 | 0.09 | 575 | 2.7869 |
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+ | 2.5436 | 0.1 | 600 | 2.7809 |
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  ### Framework versions
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