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bert-finetuned-sem_eval-english

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rajivkale/bert-finetuned-sem_eval-english

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Files changed (5) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Nov30_09-58-07_d8ca3e128fa3/events.out.tfevents.1701338347.d8ca3e128fa3.508.0 +3 -0
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  5. training_args.bin +1 -1
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.6532935754947141
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  - name: Accuracy
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  type: accuracy
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- value: 0.23927765237020315
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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
@@ -36,10 +36,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the sem_eval_2018_task_1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3278
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- - F1: 0.6533
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- - Roc Auc: 0.7575
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- - Accuracy: 0.2393
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.4058 | 1.0 | 855 | 0.3278 | 0.6533 | 0.7575 | 0.2393 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.6661329063250601
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  - name: Accuracy
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  type: accuracy
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+ value: 0.25395033860045146
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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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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the sem_eval_2018_task_1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3233
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+ - F1: 0.6661
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+ - Roc Auc: 0.7665
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+ - Accuracy: 0.2540
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.3976 | 1.0 | 855 | 0.3233 | 0.6661 | 0.7665 | 0.2540 |
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  ### Framework versions
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