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KostiuchenkoArtem/bart_large_small_modifications
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0201
- Validation Loss: 0.0424
- Epoch: 2
Model description
Intended uses & limitations
Training and evaluation data
The dataset was split into 30% test data and 70% training data
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.0969 | 0.0561 | 0 |
| 0.0377 | 0.0447 | 1 |
| 0.0201 | 0.0424 | 2 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
