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: 0.0802
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.8701 | 1.0 | 500 | 0.1153 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1204 | 2.0 | 1000 | 0.1054 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.1014 | 3.0 | 1500 | 0.0837 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0898 | 4.0 | 2000 | 0.0861 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.083 | 5.0 | 2500 | 0.0931 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0784 | 6.0 | 3000 | 0.0810 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0763 | 7.0 | 3500 | 0.0845 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0743 | 8.0 | 4000 | 0.0802 | 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