metadata
library_name: transformers
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Large-dataset-factor
results: []
Large-dataset-factor
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: 0.8394
- Rouge1: 0.6016
- Rouge2: 0.3238
- Rougel: 0.3867
- Rougelsum: 0.3867
- Gen Len: 142.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 1.2175 | 0.4598 | 0.2293 | 0.3085 | 0.3085 | 75.5 |
| No log | 2.0 | 2 | 1.0135 | 0.5862 | 0.3326 | 0.432 | 0.432 | 114.5 |
| No log | 3.0 | 3 | 0.9291 | 0.5584 | 0.2891 | 0.3831 | 0.3831 | 142.0 |
| No log | 4.0 | 4 | 0.8851 | 0.5572 | 0.2773 | 0.3739 | 0.3739 | 142.0 |
| No log | 5.0 | 5 | 0.8642 | 0.5822 | 0.3125 | 0.3886 | 0.3886 | 142.0 |
| No log | 6.0 | 6 | 0.8517 | 0.5725 | 0.2977 | 0.3692 | 0.3692 | 142.0 |
| No log | 7.0 | 7 | 0.8427 | 0.6016 | 0.3238 | 0.3867 | 0.3867 | 142.0 |
| No log | 8.0 | 8 | 0.8394 | 0.6016 | 0.3238 | 0.3867 | 0.3867 | 142.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1