metadata
base_model: plguillou/t5-base-fr-sum-cnndm
tags:
- generated_from_trainer
model-index:
- name: my_awesome_billsum_model
results: []
my_awesome_billsum_model
This model is a fine-tuned version of plguillou/t5-base-fr-sum-cnndm on the None dataset.
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 29 | 2.7412 | 0.167 | 0.0404 | 0.1474 | 0.1471 | 19.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1