metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-large-cnn-finetuned-bert-school-questions
results: []
bart-large-cnn-finetuned-bert-school-questions
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: 5.2978
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.54 | 1.0 | 9 | 6.4838 |
| 6.8729 | 2.0 | 18 | 5.6820 |
| 6.1114 | 3.0 | 27 | 5.2978 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.2+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0