metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-task3-dataset3
results: []
mt5-small-task3-dataset3
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: 0.0516
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.0315 | 1.0 | 500 | 0.0727 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1434 | 2.0 | 1000 | 0.0660 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0975 | 3.0 | 1500 | 0.0613 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0822 | 4.0 | 2000 | 0.0554 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0806 | 5.0 | 2500 | 0.0543 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0745 | 6.0 | 3000 | 0.0535 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0713 | 7.0 | 3500 | 0.0516 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0