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---
license: apache-2.0
tags:
- multilingual model
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-multilingual-xlsum-new
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-small-finetuned-multilingual-xlsum-new
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the Xlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7436
- Rouge1: 9.3908
- Rouge2: 2.5077
- RougeL: 7.8615
- Rougelsum: 7.8745
## 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: 5.6e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.8301 | 1.0 | 3375 | 2.8828 | 8.1957 | 1.9439 | 6.8031 | 6.8206 |
| 3.4032 | 2.0 | 6750 | 2.8049 | 8.9533 | 2.2919 | 7.4137 | 7.4244 |
| 3.3697 | 3.0 | 10125 | 2.7743 | 9.3366 | 2.4531 | 7.8129 | 7.8276 |
| 3.3862 | 4.0 | 13500 | 2.7500 | 9.4377 | 2.542 | 7.9123 | 7.9268 |
| 3.1704 | 5.0 | 16875 | 2.7436 | 9.3908 | 2.5077 | 7.8615 | 7.8745 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
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