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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
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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: 2.2088
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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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  | 2.3621 | 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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  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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  - 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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  | 2.3621 | 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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+ | 2.3015 | 0.05 | 325 | 2.4693 |
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+ | 2.139 | 0.06 | 350 | 2.4612 |
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+ | 2.2953 | 0.06 | 375 | 2.4553 |
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+ | 2.3358 | 0.06 | 400 | 2.4546 |
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+ | 2.3302 | 0.07 | 425 | 2.4506 |
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+ | 2.2814 | 0.07 | 450 | 2.4506 |
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+ | 2.2014 | 0.08 | 475 | 2.4455 |
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+ | 2.266 | 0.08 | 500 | 2.4434 |
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+ | 2.3309 | 0.08 | 525 | 2.4430 |
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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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