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tiny-mistral

Text Classification
Transformers
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Safetensors
mistral
Generated from Trainer
text-generation-inference
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  1. README.md +42 -1
  2. model.safetensors +1 -1
  3. runs/Apr16_14-08-18_191fe22671d8/events.out.tfevents.1713276500.191fe22671d8.34.0 +2 -2
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_trainer
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- base_model: openaccess-ai-collective/tiny-mistral
 
 
 
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  model-index:
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  - name: tiny-mistral
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  results: []
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  # tiny-mistral
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  This model is a fine-tuned version of [openaccess-ai-collective/tiny-mistral](https://huggingface.co/openaccess-ai-collective/tiny-mistral) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.39.3
 
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  ---
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+ base_model: openaccess-ai-collective/tiny-mistral
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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  model-index:
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  - name: tiny-mistral
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  results: []
 
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  # tiny-mistral
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  This model is a fine-tuned version of [openaccess-ai-collective/tiny-mistral](https://huggingface.co/openaccess-ai-collective/tiny-mistral) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.9390
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+ - Accuracy: 0.7111
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+ - Precision: 0.7110
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+ - Recall: 0.7111
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+ - Precision Macro: 0.6443
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+ - Recall Macro: 0.5942
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+ - Macro Fpr: 0.0292
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+ - Weighted Fpr: 0.0282
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+ - Weighted Specificity: 0.9577
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+ - Macro Specificity: 0.9779
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+ - Weighted Sensitivity: 0.7111
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+ - Macro Sensitivity: 0.5942
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+ - F1 Micro: 0.7111
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+ - F1 Macro: 0.6107
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+ - F1 Weighted: 0.7086
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  ## Model description
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  - num_epochs: 15
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Precision Macro | Recall Macro | Macro Fpr | Weighted Fpr | Weighted Specificity | Macro Specificity | Weighted Sensitivity | Macro Sensitivity | F1 Micro | F1 Macro | F1 Weighted |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---------------:|:------------:|:---------:|:------------:|:--------------------:|:-----------------:|:--------------------:|:-----------------:|:--------:|:--------:|:-----------:|
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+ | 1.4479 | 1.0 | 643 | 1.1182 | 0.6499 | 0.6258 | 0.6499 | 0.4712 | 0.4744 | 0.0390 | 0.0371 | 0.9470 | 0.9731 | 0.6499 | 0.4744 | 0.6499 | 0.4547 | 0.6214 |
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+ | 0.8133 | 2.0 | 1286 | 1.0854 | 0.6987 | 0.7197 | 0.6987 | 0.5877 | 0.5528 | 0.0305 | 0.0299 | 0.9608 | 0.9773 | 0.6987 | 0.5528 | 0.6987 | 0.5474 | 0.6970 |
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+ | 0.5592 | 3.0 | 1929 | 1.6114 | 0.6987 | 0.7107 | 0.6987 | 0.6368 | 0.5881 | 0.0304 | 0.0299 | 0.9609 | 0.9773 | 0.6987 | 0.5881 | 0.6987 | 0.6013 | 0.6998 |
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+ | 0.2375 | 4.0 | 2572 | 1.7779 | 0.6956 | 0.7001 | 0.6956 | 0.5840 | 0.5667 | 0.0310 | 0.0303 | 0.9566 | 0.9768 | 0.6956 | 0.5667 | 0.6956 | 0.5699 | 0.6923 |
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+ | 0.1586 | 5.0 | 3215 | 2.1752 | 0.6948 | 0.7011 | 0.6948 | 0.5797 | 0.5799 | 0.0316 | 0.0304 | 0.9601 | 0.9770 | 0.6948 | 0.5799 | 0.6948 | 0.5695 | 0.6917 |
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+ | 0.0956 | 6.0 | 3858 | 2.3261 | 0.7080 | 0.7213 | 0.7080 | 0.6169 | 0.6191 | 0.0291 | 0.0286 | 0.9646 | 0.9782 | 0.7080 | 0.6191 | 0.7080 | 0.6115 | 0.7105 |
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+ | 0.044 | 7.0 | 4501 | 2.3308 | 0.7157 | 0.7143 | 0.7157 | 0.6184 | 0.5939 | 0.0285 | 0.0276 | 0.9611 | 0.9785 | 0.7157 | 0.5939 | 0.7157 | 0.6014 | 0.7131 |
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+ | 0.0212 | 8.0 | 5144 | 2.5607 | 0.7126 | 0.7033 | 0.7126 | 0.6494 | 0.6175 | 0.0294 | 0.0280 | 0.9581 | 0.9780 | 0.7126 | 0.6175 | 0.7126 | 0.6237 | 0.7047 |
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+ | 0.0183 | 9.0 | 5787 | 2.6405 | 0.7119 | 0.7092 | 0.7119 | 0.6133 | 0.5850 | 0.0291 | 0.0281 | 0.9599 | 0.9781 | 0.7119 | 0.5850 | 0.7119 | 0.5935 | 0.7088 |
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+ | 0.0145 | 10.0 | 6430 | 2.7268 | 0.7088 | 0.7058 | 0.7088 | 0.6235 | 0.5945 | 0.0297 | 0.0285 | 0.9574 | 0.9777 | 0.7088 | 0.5945 | 0.7088 | 0.6039 | 0.7051 |
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+ | 0.0065 | 11.0 | 7073 | 2.7568 | 0.7149 | 0.7133 | 0.7149 | 0.6342 | 0.5966 | 0.0286 | 0.0277 | 0.9609 | 0.9784 | 0.7149 | 0.5966 | 0.7149 | 0.6068 | 0.7123 |
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+ | 0.0012 | 12.0 | 7716 | 2.9243 | 0.7088 | 0.7106 | 0.7088 | 0.6261 | 0.5886 | 0.0296 | 0.0285 | 0.9581 | 0.9778 | 0.7088 | 0.5886 | 0.7088 | 0.6011 | 0.7071 |
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+ | 0.0019 | 13.0 | 8359 | 2.9101 | 0.7119 | 0.7107 | 0.7119 | 0.6399 | 0.5910 | 0.0291 | 0.0281 | 0.9576 | 0.9780 | 0.7119 | 0.5910 | 0.7119 | 0.6073 | 0.7085 |
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+ | 0.0011 | 14.0 | 9002 | 2.9270 | 0.7103 | 0.7101 | 0.7103 | 0.6430 | 0.5925 | 0.0293 | 0.0283 | 0.9576 | 0.9779 | 0.7103 | 0.5925 | 0.7103 | 0.6090 | 0.7077 |
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+ | 0.0008 | 15.0 | 9645 | 2.9390 | 0.7111 | 0.7110 | 0.7111 | 0.6443 | 0.5942 | 0.0292 | 0.0282 | 0.9577 | 0.9779 | 0.7111 | 0.5942 | 0.7111 | 0.6107 | 0.7086 |
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  ### Framework versions
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  - Transformers 4.39.3
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