metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5
results: []
wsdbanglat5
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0117
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 |
|---|---|---|---|
| 0.0424 | 1.0 | 1481 | 0.0330 |
| 0.0282 | 2.0 | 2962 | 0.0213 |
| 0.0248 | 3.0 | 4443 | 0.0169 |
| 0.0167 | 4.0 | 5924 | 0.0130 |
| 0.017 | 5.0 | 7405 | 0.0117 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1