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--- |
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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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- f1 |
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model-index: |
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- name: M12-BirtSimilarity-Mix-With-GlossBERT |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# M12-BirtSimilarity-Mix-With-GlossBERT |
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This model is a fine-tuned version of [aomar85/M12-BERT-SIMILIARITY](https://huggingface.co/aomar85/M12-BERT-SIMILIARITY) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2815 |
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- Accuracy: 0.9172 |
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- Precision: 0.8973 |
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- Recall: 0.9348 |
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- F1: 0.9157 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.2469 | 1.0 | 59883 | 0.2437 | 0.9159 | 0.8847 | 0.9488 | 0.9156 | |
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| 0.2302 | 2.0 | 119766 | 0.2884 | 0.9172 | 0.8862 | 0.9496 | 0.9168 | |
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| 0.2201 | 3.0 | 179649 | 0.2552 | 0.9177 | 0.8953 | 0.9385 | 0.9164 | |
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| 0.2045 | 4.0 | 239532 | 0.2815 | 0.9172 | 0.8973 | 0.9348 | 0.9157 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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