---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: type2_general_1
  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. -->

# type2_general_1

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: 3.0966

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.634         | 0.87  | 500  | 2.9991          |
| 3.1251        | 1.74  | 1000 | 2.8423          |
| 2.5868        | 2.61  | 1500 | 2.8272          |
| 2.3594        | 3.48  | 2000 | 2.8389          |
| 2.0565        | 4.35  | 2500 | 2.8995          |
| 2.1545        | 5.22  | 3000 | 2.9175          |
| 1.6546        | 6.09  | 3500 | 2.9527          |
| 1.4673        | 6.96  | 4000 | 2.9956          |
| 1.7318        | 7.83  | 4500 | 3.0638          |
| 1.3006        | 8.7   | 5000 | 3.0805          |
| 1.5979        | 9.57  | 5500 | 3.0966          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2