metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: KostiuchenkoArtem/bart_large_multi
results: []
KostiuchenkoArtem/bart_large_multi
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: 1.4183
- Validation Loss: 2.2949
- Epoch: 3
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:
- 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 |
---|---|---|
2.2305 | 2.1257 | 0 |
1.9043 | 2.1163 | 1 |
1.6451 | 2.1815 | 2 |
1.4183 | 2.2949 | 3 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3