---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: GeneralNews_9_loadbest
  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. -->

# GeneralNews_9_loadbest

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: 2.7052

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4665        | 1.0   | 500  | 3.0865          |
| 3.2219        | 2.0   | 1000 | 2.8680          |
| 3.0254        | 3.0   | 1500 | 2.7771          |
| 2.8798        | 4.0   | 2000 | 2.7572          |
| 2.7943        | 5.0   | 2500 | 2.7339          |
| 2.6988        | 6.0   | 3000 | 2.7126          |
| 2.4587        | 7.0   | 3500 | 2.7086          |
| 2.4769        | 8.0   | 4000 | 2.7076          |
| 2.5388        | 9.0   | 4500 | 2.7075          |
| 2.4411        | 10.0  | 5000 | 2.7052          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1