metadata
license: apache-2.0
base_model: moussaKam/barthez-orangesum-abstract
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: barthez-orange-ft
results: []
barthez-orange-ft
This model is a fine-tuned version of moussaKam/barthez-orangesum-abstract on the REFOMED dataset. It achieves the following results on the evaluation set:
- Loss: 0.1792
- Rouge1: 0.6715
- Rouge2: 0.6537
- Rougel: 0.6717
- Rougelsum: 0.6717
- 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: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 31 | 0.2054 | 0.6716 | 0.6537 | 0.6717 | 0.6717 | 20.0 |
| No log | 1.99 | 62 | 0.1884 | 0.6715 | 0.6537 | 0.6717 | 0.6717 | 20.0 |
| No log | 2.99 | 93 | 0.1824 | 0.6715 | 0.6537 | 0.6717 | 0.6717 | 20.0 |
| No log | 3.98 | 124 | 0.1798 | 0.6715 | 0.6537 | 0.6717 | 0.6717 | 20.0 |
| No log | 4.98 | 155 | 0.1792 | 0.6715 | 0.6537 | 0.6717 | 0.6717 | 20.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.13.3