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---
base_model: ka05ar/Banglat5_Dx1
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_F2e4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wsdbanglat5_F2e4
This model is a fine-tuned version of [ka05ar/Banglat5_Dx1](https://huggingface.co/ka05ar/Banglat5_Dx1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0 | 1.0 | 1481 | nan |
| 0.0 | 2.0 | 2962 | nan |
| 0.0 | 3.0 | 4443 | nan |
| 0.0 | 4.0 | 5924 | nan |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
|