refinement-finetuned-mnli-kaggle-yahoo
This model is a fine-tuned version of joeddav/bart-large-mnli-yahoo-answers on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1324
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4649 | 1.0 | 12599 | 0.9705 |
| 0.494 | 2.0 | 25198 | 1.1055 |
| 0.3405 | 3.0 | 37797 | 1.1101 |
| 0.5063 | 4.0 | 50396 | 1.1324 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0
- Datasets 2.5.1
- Tokenizers 0.12.1
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