transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer base_model:csebuetnlp/mT5_multilingual_XLSum autotrain_compatible endpoints_compatible region:us
---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: SurpriseNews1
  results: []
---

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# SurpriseNews1

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: 3.3676

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9143        | 1.23  | 500  | 3.6579          |
| 3.2691        | 2.45  | 1000 | 3.3719          |
| 2.9441        | 3.68  | 1500 | 3.2650          |
| 2.7016        | 4.9   | 2000 | 3.2738          |
| 2.1448        | 6.13  | 2500 | 3.2987          |
| 2.4149        | 7.35  | 3000 | 3.3407          |
| 2.1251        | 8.58  | 3500 | 3.3605          |
| 1.9645        | 9.8   | 4000 | 3.3676          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
