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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 +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: 2.1554
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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: 1350
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  ### Training results
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@@ -103,8 +103,18 @@ The following hyperparameters were used during training:
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  | 2.2411 | 0.2 | 1250 | 2.4160 |
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  | 2.28 | 0.2 | 1275 | 2.4171 |
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  | 2.3077 | 0.21 | 1300 | 2.4176 |
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- | 2.282 | 0.21 | 1325 | 2.4169 |
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- | 2.1763 | 0.22 | 1350 | 2.4145 |
 
 
 
 
 
 
 
 
 
 
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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: 2.1505
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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: 1600
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  ### Training results
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  | 2.2411 | 0.2 | 1250 | 2.4160 |
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  | 2.28 | 0.2 | 1275 | 2.4171 |
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  | 2.3077 | 0.21 | 1300 | 2.4176 |
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+ | 2.2814 | 0.21 | 1325 | 2.4186 |
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+ | 2.1772 | 0.22 | 1350 | 2.4199 |
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+ | 2.2554 | 0.22 | 1375 | 2.4190 |
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+ | 2.2665 | 0.22 | 1400 | 2.4182 |
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+ | 2.2058 | 0.23 | 1425 | 2.4171 |
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+ | 2.1881 | 0.23 | 1450 | 2.4209 |
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+ | 2.1567 | 0.24 | 1475 | 2.4186 |
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+ | 2.2146 | 0.24 | 1500 | 2.4210 |
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+ | 2.1493 | 0.24 | 1525 | 2.4207 |
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+ | 2.2145 | 0.25 | 1550 | 2.4167 |
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+ | 2.3312 | 0.25 | 1575 | 2.4187 |
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+ | 2.2897 | 0.26 | 1600 | 2.4193 |
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  ### Framework versions
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