ENG-full-fined-tuned
This model is a fine-tuned version of facebook/bart-large-mnli on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5407
- F1: 0.0724
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: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 45 | 1.7846 | 0.0698 |
| No log | 2.0 | 90 | 1.7658 | 0.0698 |
| No log | 3.0 | 135 | 1.7458 | 0.0698 |
| No log | 4.0 | 180 | 1.7913 | 0.0698 |
| No log | 5.0 | 225 | 1.7677 | 0.1386 |
| No log | 6.0 | 270 | 1.8333 | 0.1000 |
| No log | 7.0 | 315 | 2.1814 | 0.0607 |
| No log | 8.0 | 360 | 2.2701 | 0.0781 |
| No log | 9.0 | 405 | 2.3223 | 0.1206 |
| No log | 10.0 | 450 | 2.4003 | 0.0879 |
| No log | 11.0 | 495 | 2.4776 | 0.0870 |
| 1.3449 | 12.0 | 540 | 2.5407 | 0.0724 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 1