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Mistral_Sparse_refined_web_50p_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: 2.0957
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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: 2100
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  ### Training results
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@@ -135,6 +135,16 @@ The following hyperparameters were used during training:
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  | 2.1657 | 0.33 | 2050 | 2.3750 |
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  | 2.1661 | 0.33 | 2075 | 2.3762 |
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  | 2.262 | 0.34 | 2100 | 2.3747 |
 
 
 
 
 
 
 
 
 
 
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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: 2.0935
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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: 2350
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  ### Training results
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  | 2.1657 | 0.33 | 2050 | 2.3750 |
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  | 2.1661 | 0.33 | 2075 | 2.3762 |
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  | 2.262 | 0.34 | 2100 | 2.3747 |
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+ | 2.3022 | 0.34 | 2125 | 2.3724 |
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+ | 2.2074 | 0.34 | 2150 | 2.3739 |
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+ | 2.1682 | 0.35 | 2175 | 2.3731 |
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+ | 2.1887 | 0.35 | 2200 | 2.3737 |
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+ | 2.1387 | 0.36 | 2225 | 2.3725 |
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+ | 2.1311 | 0.36 | 2250 | 2.3723 |
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+ | 2.2672 | 0.36 | 2275 | 2.3691 |
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+ | 2.2492 | 0.37 | 2300 | 2.3713 |
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+ | 2.1454 | 0.37 | 2325 | 2.3697 |
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+ | 2.1851 | 0.38 | 2350 | 2.3692 |
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  ### Framework versions
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