bart-base-govreport-1024
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5326
- Rouge1: 47.2014
- Rouge2: 14.3537
- Rougel: 20.357
- Rougelsum: 45.2941
- Gen Len: 748.32
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: 0.0008
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.7807 | 1.83 | 1000 | 4.7100 | 44.714 | 12.3085 | 18.8368 | 42.8279 | 749.72 |
| 4.4195 | 3.65 | 2000 | 4.5326 | 47.2014 | 14.3537 | 20.357 | 45.2941 | 748.32 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.15.2
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facebook/bart-base