metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: banglat5-headline-Final
results: []
banglat5-headline-Final
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7516
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 9.273
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: 0.0002
- 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 |
|---|---|---|---|---|---|---|---|---|
| 3.6878 | 1.0 | 403 | 2.9736 | 0.0 | 0.0 | 0.0 | 0.0 | 9.2308 |
| 3.2176 | 2.0 | 806 | 2.8388 | 0.0 | 0.0 | 0.0 | 0.0 | 8.7792 |
| 2.559 | 3.0 | 1209 | 2.8002 | 0.0 | 0.0 | 0.0 | 0.0 | 9.4963 |
| 2.0545 | 4.0 | 1612 | 2.7548 | 0.0 | 0.0 | 0.0 | 0.0 | 9.4342 |
| 2.3958 | 5.0 | 2015 | 2.7516 | 0.0 | 0.0 | 0.0 | 0.0 | 9.273 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2