metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: banglat5-headline-BanglaT5
results: []
banglat5-headline-BanglaT5
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6345
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 11.9233
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
- 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 |
---|---|---|---|---|---|---|---|---|
6.0394 | 1.0 | 403 | 4.8558 | 0.0 | 0.0 | 0.0 | 0.0 | 18.0817 |
4.8854 | 2.0 | 806 | 4.1942 | 0.0 | 0.0 | 0.0 | 0.0 | 13.6906 |
4.3995 | 3.0 | 1209 | 3.8558 | 0.0 | 0.0 | 0.0 | 0.0 | 12.4158 |
4.4694 | 4.0 | 1612 | 3.6887 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0644 |
4.0905 | 5.0 | 2015 | 3.6345 | 0.0 | 0.0 | 0.0 | 0.0 | 11.9233 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2