metadata
license: apache-2.0
base_model: huggingface-course/mt5-finetuned-amazon-en-es
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vietnamese_mt5_summary_model
results: []
vietnamese_mt5_summary_model
This model is a fine-tuned version of huggingface-course/mt5-finetuned-amazon-en-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4447
- Rouge1: 28.6205
- Rouge2: 12.1892
- Rougel: 22.6626
- Rougelsum: 22.9635
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: 0.001
- 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: 3000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.7781 | 1.0 | 625 | 1.8391 | 28.5024 | 11.2717 | 22.108 | 22.4361 |
| 2.0622 | 2.0 | 1250 | 1.7576 | 28.0245 | 10.6112 | 21.7353 | 22.0685 |
| 1.8636 | 3.0 | 1875 | 1.6179 | 27.353 | 10.6238 | 21.4686 | 21.7512 |
| 1.7408 | 4.0 | 2500 | 1.6143 | 28.0928 | 11.2857 | 22.06 | 22.3629 |
| 1.6492 | 5.0 | 3125 | 1.5411 | 27.8209 | 10.9184 | 21.6819 | 21.9773 |
| 1.5448 | 6.0 | 3750 | 1.4802 | 28.0433 | 11.4232 | 22.0696 | 22.373 |
| 1.4454 | 7.0 | 4375 | 1.4621 | 27.8552 | 11.1708 | 21.8958 | 22.1949 |
| 1.3636 | 8.0 | 5000 | 1.4522 | 28.3264 | 11.7945 | 22.3563 | 22.6524 |
| 1.2978 | 9.0 | 5625 | 1.4347 | 28.444 | 11.9388 | 22.4279 | 22.7344 |
| 1.2445 | 10.0 | 6250 | 1.4447 | 28.6205 | 12.1892 | 22.6626 | 22.9635 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1