metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: cdc_influenza_bart-base-cnn
results: []
cdc_influenza_bart-base-cnn
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: 0.5155
- Rouge1: 0.3829
- Rouge2: 0.3086
- Rougel: 0.3623
- Rougelsum: 0.3576
- Gen Len: 20.0
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 0.8120 | 0.308 | 0.2272 | 0.2723 | 0.2758 | 20.0 |
| No log | 2.0 | 4 | 0.6427 | 0.3473 | 0.2635 | 0.3179 | 0.3189 | 20.0 |
| No log | 3.0 | 6 | 0.5496 | 0.3925 | 0.3203 | 0.3671 | 0.3642 | 20.0 |
| No log | 4.0 | 8 | 0.5155 | 0.3829 | 0.3086 | 0.3623 | 0.3576 | 20.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2