metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_bart_model
results: []
my_bart_model
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8325
- Rouge1: 0.3004
- Rouge2: 0.1539
- Rougel: 0.244
- Rougelsum: 0.2441
- Gen Len: 59.9356
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6223 | 1.0 | 27000 | 1.8325 | 0.3004 | 0.1539 | 0.244 | 0.2441 | 59.9356 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3