metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_2e4_15
results: []
wsdbanglat5_2e4_15
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0234 | 1.0 | 1481 | 0.0182 |
| 0.019 | 2.0 | 2962 | 0.0126 |
| 0.0893 | 3.0 | 4443 | 0.0043 |
| 0.0363 | 4.0 | 5924 | 0.0880 |
| 0.002 | 5.0 | 7405 | 0.0015 |
| 0.0017 | 6.0 | 8886 | 0.0011 |
| 0.0011 | 7.0 | 10367 | 0.0011 |
| 0.0007 | 8.0 | 11848 | 0.0009 |
| 0.0011 | 9.0 | 13329 | 0.0009 |
| 0.0006 | 10.0 | 14810 | 0.0008 |
| 0.0003 | 11.0 | 16291 | 0.0010 |
| 0.0003 | 12.0 | 17772 | 0.0009 |
| 0.0002 | 13.0 | 19253 | 0.0009 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1