T2-usingF1_BL
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README.md
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base_model: aubmindlab/bert-base-arabertv02-twitter
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tags:
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- generated_from_trainer
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model-index:
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- name: Model4_withclasess-arabertv2_base_T2_WS_A100v2_F1__BL
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results: []
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# Model4_withclasess-arabertv2_base_T2_WS_A100v2_F1__BL
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on an unknown dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Framework versions
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- Transformers 4.48.2
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base_model: aubmindlab/bert-base-arabertv02-twitter
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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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model-index:
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- name: Model4_withclasess-arabertv2_base_T2_WS_A100v2_F1__BL
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results: []
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# Model4_withclasess-arabertv2_base_T2_WS_A100v2_F1__BL
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter](https://huggingface.co/aubmindlab/bert-base-arabertv02-twitter) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0770
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- F1-micro: 0.8282
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- Roc Auc: 0.9072
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- Accuracy: 0.7912
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1-micro | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|:--------:|
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| 0.1028 | 1.0 | 507 | 0.0644 | 0.7904 | 0.8639 | 0.7297 |
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| 0.0476 | 2.0 | 1014 | 0.0556 | 0.8143 | 0.8828 | 0.7668 |
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| 0.0308 | 3.0 | 1521 | 0.0570 | 0.8200 | 0.8929 | 0.7758 |
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| 0.0206 | 4.0 | 2028 | 0.0624 | 0.8179 | 0.8979 | 0.7828 |
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| 0.0134 | 5.0 | 2535 | 0.0696 | 0.8183 | 0.9016 | 0.7856 |
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| 0.0097 | 6.0 | 3042 | 0.0743 | 0.8226 | 0.9052 | 0.7898 |
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| 0.0077 | 7.0 | 3549 | 0.0779 | 0.8166 | 0.9039 | 0.7793 |
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| 0.0054 | 8.0 | 4056 | 0.0809 | 0.8249 | 0.9063 | 0.7905 |
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| 0.0045 | 9.0 | 4563 | 0.0770 | 0.8282 | 0.9072 | 0.7912 |
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| 0.0036 | 10.0 | 5070 | 0.0812 | 0.8228 | 0.9049 | 0.7849 |
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| 0.003 | 11.0 | 5577 | 0.0874 | 0.8250 | 0.9072 | 0.7919 |
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| 0.0025 | 12.0 | 6084 | 0.0886 | 0.8258 | 0.9067 | 0.7863 |
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### Framework versions
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- Transformers 4.48.2
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model.safetensors
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size 540855364
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