---
library_name: transformers
license: mit
base_model: aparajitha/mbart-ft-sci-ms-en
tags:
- generated_from_trainer
model-index:
- name: mbart-ft-sci-ms-en-hi
  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. -->

# mbart-ft-sci-ms-en-hi

This model is a fine-tuned version of [aparajitha/mbart-ft-sci-ms-en](https://huggingface.co/aparajitha/mbart-ft-sci-ms-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4847

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 274  | 2.6303          |
| 2.7121        | 2.0   | 548  | 2.5228          |
| 2.7121        | 3.0   | 822  | 2.4998          |
| 2.2908        | 4.0   | 1096 | 2.4780          |
| 2.2908        | 5.0   | 1370 | 2.4805          |
| 2.1274        | 6.0   | 1644 | 2.4847          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1