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: 2.8437
- F1: 0.3541
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 | 88 | 1.7166 | 0.0753 |
| No log | 2.0 | 176 | 1.7786 | 0.0482 |
| No log | 3.0 | 264 | 1.7416 | 0.0575 |
| No log | 4.0 | 352 | 1.6967 | 0.1203 |
| No log | 5.0 | 440 | 1.6729 | 0.1636 |
| 1.7288 | 6.0 | 528 | 1.6480 | 0.2956 |
| 1.7288 | 7.0 | 616 | 1.7791 | 0.3345 |
| 1.7288 | 8.0 | 704 | 2.1510 | 0.3117 |
| 1.7288 | 9.0 | 792 | 2.2252 | 0.3376 |
| 1.7288 | 10.0 | 880 | 2.5299 | 0.3613 |
| 1.7288 | 11.0 | 968 | 2.7822 | 0.3640 |
| 0.2608 | 12.0 | 1056 | 2.8437 | 0.3541 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
facebook/bart-large-mnli