CRAB_COPA_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/COPA_Bert_Base_Uncased_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8427
- F1: 0.7417
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.0245 | 1.0 | 2880 | 0.9647 | 0.6944 |
| 0.9269 | 2.0 | 5760 | 0.8318 | 0.7208 |
| 0.8595 | 3.0 | 8640 | 0.8719 | 0.7250 |
| 0.6487 | 4.0 | 11520 | 0.8147 | 0.7236 |
| 0.6315 | 5.0 | 14400 | 0.8145 | 0.7375 |
| 0.7166 | 6.0 | 17280 | 0.8406 | 0.7472 |
| 0.6376 | 7.0 | 20160 | 0.8372 | 0.7417 |
| 0.6178 | 8.0 | 23040 | 0.8427 | 0.7417 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1