metadata
library_name: transformers
license: mit
base_model: facebook/bart-large-xsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: highlight_summary_model_trained_on_reduced_data
results: []
highlight_summary_model_trained_on_reduced_data
This model is a fine-tuned version of facebook/bart-large-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9996
- Rouge1: 0.4538
- Rouge2: 0.1996
- Rougel: 0.3416
- Rougelsum: 0.342
- Generated Length: 34.9394
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 263 | 2.0074 | 0.429 | 0.184 | 0.3353 | 0.3352 | 32.6742 |
| 1.8594 | 2.0 | 526 | 1.9996 | 0.4538 | 0.1996 | 0.3416 | 0.342 | 34.9394 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1