BART-large-cnn-V3
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.99 | 62 | 0.6047 | 55.4094 | 37.7224 | 45.4045 | 53.4439 | 139.8044 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.12.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for hztang/BART-large-cnn-V3
Base model
facebook/bart-large-cnn