---
tags:
- generated_from_trainer
model-index:
- name: mT5_multilingual_XLSum-marathi-summarization
  results: []
---

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# mT5_multilingual_XLSum-marathi-summarization

This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0760

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5994        | 0.55  | 100  | 0.1662          |
| 0.2766        | 1.09  | 200  | 0.1032          |
| 0.1967        | 1.64  | 300  | 0.0881          |
| 0.194         | 2.19  | 400  | 0.0850          |
| 0.1667        | 2.73  | 500  | 0.0821          |
| 0.1615        | 3.28  | 600  | 0.0780          |
| 0.1368        | 3.83  | 700  | 0.0783          |
| 0.1372        | 4.37  | 800  | 0.0762          |
| 0.1265        | 4.92  | 900  | 0.0760          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3