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 None dataset. It achieves the following results on the evaluation set:
- Loss: 7.5955
- Rouge1: 0.7166
- Rouge2: 0.7001
- Rougel: 0.7163
- Rougelsum: 0.7161
- 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.96 | 12 | 9.5195 | 0.7166 | 0.7001 | 0.7163 | 0.7161 | 20.0 |
| No log | 2.0 | 25 | 8.0721 | 0.7166 | 0.7001 | 0.7163 | 0.7161 | 20.0 |
| No log | 2.88 | 36 | 7.5955 | 0.7166 | 0.7001 | 0.7163 | 0.7161 | 20.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.13.3