metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: banglat5-headline_WithIp-1e-4
results: []
banglat5-headline_WithIp-1e-4
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8981
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 9.1935
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: 0.0001
- 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 |
|---|---|---|---|---|---|---|---|---|
| 4.301 | 1.0 | 403 | 3.1722 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0223 |
| 3.6132 | 2.0 | 806 | 2.9466 | 0.0 | 0.0 | 0.0 | 0.0 | 8.5955 |
| 2.7738 | 3.0 | 1209 | 2.8994 | 0.0 | 0.0 | 0.0 | 0.0 | 8.464 |
| 2.756 | 4.0 | 1612 | 2.8967 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0918 |
| 2.4844 | 5.0 | 2015 | 2.8981 | 0.0 | 0.0 | 0.0 | 0.0 | 9.1935 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2