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Mistral_Sparse_refined_web_70p_2024-03-12

Text Generation
Transformers
Safetensors
sparse_mistral
Generated from Trainer
custom_code
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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: 2.1816
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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: 600
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  ### Training results
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@@ -75,6 +75,16 @@ The following hyperparameters were used during training:
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  | 2.2278 | 0.09 | 550 | 2.4417 |
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  | 2.3621 | 0.09 | 575 | 2.4384 |
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  | 2.1614 | 0.1 | 600 | 2.4385 |
 
 
 
 
 
 
 
 
 
 
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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: 2.1705
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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: 850
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  ### Training results
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  | 2.2278 | 0.09 | 550 | 2.4417 |
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  | 2.3621 | 0.09 | 575 | 2.4384 |
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  | 2.1614 | 0.1 | 600 | 2.4385 |
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+ | 2.2504 | 0.1 | 625 | 2.4370 |
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+ | 2.3301 | 0.1 | 650 | 2.4350 |
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+ | 2.3177 | 0.11 | 675 | 2.4331 |
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+ | 2.2784 | 0.11 | 700 | 2.4307 |
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+ | 2.2681 | 0.12 | 725 | 2.4305 |
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+ | 2.1777 | 0.12 | 750 | 2.4314 |
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+ | 2.2164 | 0.12 | 775 | 2.4321 |
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+ | 2.3068 | 0.13 | 800 | 2.4292 |
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+ | 2.3142 | 0.13 | 825 | 2.4227 |
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+ | 2.2982 | 0.14 | 850 | 2.4256 |
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  ### Framework versions
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