---
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_2e4_IndicBART
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wsdbanglat5_2e4_IndicBART

This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0112

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0392        | 1.0   | 1481  | 0.0291          |
| 0.023         | 2.0   | 2962  | 0.0183          |
| 0.0191        | 3.0   | 4443  | 0.0180          |
| 0.0146        | 4.0   | 5924  | 0.0137          |
| 0.0146        | 5.0   | 7405  | 0.0128          |
| 0.0121        | 6.0   | 8886  | 0.0123          |
| 0.0122        | 7.0   | 10367 | 0.0118          |
| 0.012         | 8.0   | 11848 | 0.0117          |
| 0.0112        | 9.0   | 13329 | 0.0114          |
| 0.0116        | 10.0  | 14810 | 0.0112          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1