COPA_E_CARE_Bert_Base_Uncased_Finetuned
This model is a fine-tuned version of Ariffiq99/e_care_bert_base_uncased_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5892
- F1: 0.7839
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 63 | 0.5912 | 0.7258 |
| No log | 2.0 | 126 | 0.5371 | 0.7702 |
| No log | 3.0 | 189 | 0.5355 | 0.7627 |
| No log | 4.0 | 252 | 0.5373 | 0.7747 |
| No log | 5.0 | 315 | 0.5452 | 0.7832 |
| No log | 6.0 | 378 | 0.5626 | 0.7822 |
| No log | 7.0 | 441 | 0.5731 | 0.7815 |
| 0.364 | 8.0 | 504 | 0.5825 | 0.7797 |
| 0.364 | 9.0 | 567 | 0.5874 | 0.7865 |
| 0.364 | 10.0 | 630 | 0.5892 | 0.7839 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Ariffiq99/COPA_E_CARE_Bert_Base_Uncased_Finetuned
Base model
google-bert/bert-base-uncased