metadata
license: apache-2.0
tags:
- multilingual model
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-multilingual-xlsum-new
results: []
mt5-small-finetuned-multilingual-xlsum-new
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7673
- Rouge1: 9.1368
- Rouge2: 2.3893
- Rougel: 7.6599
- Rougelsum: 7.6873
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| 3.7827 | 1.0 | 1687 | 2.8911 | 8.1314 | 1.9569 | 6.7927 | 6.8179 |
| 3.6518 | 2.0 | 3374 | 2.8338 | 8.6621 | 2.1437 | 7.2171 | 7.246 |
| 3.3691 | 3.0 | 5061 | 2.8015 | 8.9402 | 2.2733 | 7.4744 | 7.497 |
| 3.4435 | 4.0 | 6748 | 2.7746 | 9.0514 | 2.3627 | 7.6144 | 7.6358 |
| 3.5139 | 5.0 | 8435 | 2.7673 | 9.1368 | 2.3893 | 7.6599 | 7.6873 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1