---
library_name: transformers
license: mit
base_model: aparajitha/mbart-sci-ms-tr
tags:
- generated_from_trainer
model-index:
- name: mbart-sci-ms-tr-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-sci-ms-tr-hi

This model is a fine-tuned version of [aparajitha/mbart-sci-ms-tr](https://huggingface.co/aparajitha/mbart-sci-ms-tr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3624

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4977        | 1.0   | 1092 | 2.3430          |
| 2.099         | 2.0   | 2184 | 2.2412          |
| 1.8193        | 3.0   | 3276 | 2.2304          |
| 1.5883        | 4.0   | 4368 | 2.2644          |
| 1.4088        | 5.0   | 5460 | 2.3011          |
| 1.2952        | 6.0   | 6552 | 2.3624          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1