---
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_2e4_mBART50_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wsdbanglat5_2e4_mBART50_v1

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co./facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0101

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0782        | 1.0   | 1481  | 0.0769          |
| 0.0524        | 2.0   | 2962  | 0.0494          |
| 0.0369        | 3.0   | 4443  | 0.0356          |
| 0.0294        | 4.0   | 5924  | 0.0295          |
| 0.0221        | 5.0   | 7405  | 0.0233          |
| 0.0166        | 6.0   | 8886  | 0.0163          |
| 0.0128        | 7.0   | 10367 | 0.0146          |
| 0.0122        | 8.0   | 11848 | 0.0129          |
| 0.0087        | 9.0   | 13329 | 0.0111          |
| 0.0059        | 10.0  | 14810 | 0.0101          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1