|
--- |
|
license: apache-2.0 |
|
tags: |
|
- multilingual model |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: mt5-small-finetuned-multilingual-xlsum |
|
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 |
|
|
|
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.7979 |
|
- Rouge1: 9.2017 |
|
- Rouge2: 2.3976 |
|
- Rougel: 7.7055 |
|
- Rougelsum: 7.7347 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:| |
|
| 4.4524 | 1.0 | 3375 | 2.9251 | 8.1565 | 1.9058 | 6.7949 | 6.8196 | |
|
| 3.6707 | 2.0 | 6750 | 2.8524 | 8.7884 | 2.147 | 7.339 | 7.3678 | |
|
| 3.5273 | 3.0 | 10125 | 2.8184 | 9.1157 | 2.3886 | 7.6228 | 7.6592 | |
|
| 3.4452 | 4.0 | 13500 | 2.8028 | 9.2619 | 2.406 | 7.7607 | 7.7921 | |
|
| 3.4074 | 5.0 | 16875 | 2.7979 | 9.2017 | 2.3976 | 7.7055 | 7.7347 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.19.1 |
|
- Pytorch 1.11.0+cu113 |
|
- Datasets 2.2.1 |
|
- Tokenizers 0.12.1 |
|
|
