---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: mt5-sci-fl
  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. -->

# mt5-sci-fl

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: 2.9837

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5927        | 1.0   | 2904  | 3.2806          |
| 3.3361        | 2.0   | 5808  | 3.1240          |
| 3.2328        | 3.0   | 8712  | 3.0544          |
| 3.154         | 4.0   | 11616 | 3.0139          |
| 3.0892        | 5.0   | 14520 | 2.9940          |
| 3.1044        | 6.0   | 17424 | 2.9837          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.4.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1