metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-tuto-mt5-small-2
results: []
mt5-small-tuto-mt5-small-2
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: 1.8564
- Rouge1: 0.4159
- Rouge2: 0.2906
- Rougel: 0.3928
- Rougelsum: 0.3929
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.1519 | 1.0 | 6034 | 1.8564 | 0.4159 | 0.2906 | 0.3928 | 0.3929 |
| 2.1289 | 2.0 | 12068 | 1.8564 | 0.4159 | 0.2906 | 0.3928 | 0.3929 |
| 2.1291 | 3.0 | 18102 | 1.8564 | 0.4159 | 0.2906 | 0.3928 | 0.3929 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2