metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task2-dataset2
results: []
mt5-small-task2-dataset2
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: 0.4228
- Accuracy: 0.32
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.2681 | 1.0 | 250 | 1.1622 | 0.018 |
| 1.7716 | 2.0 | 500 | 0.8039 | 0.066 |
| 1.1424 | 3.0 | 750 | 0.6418 | 0.14 |
| 0.8879 | 4.0 | 1000 | 0.5569 | 0.204 |
| 0.7728 | 5.0 | 1250 | 0.5065 | 0.256 |
| 0.6886 | 6.0 | 1500 | 0.4821 | 0.268 |
| 0.6422 | 7.0 | 1750 | 0.4619 | 0.282 |
| 0.6137 | 8.0 | 2000 | 0.4500 | 0.298 |
| 0.5837 | 9.0 | 2250 | 0.4314 | 0.3 |
| 0.5711 | 10.0 | 2500 | 0.4256 | 0.316 |
| 0.5596 | 11.0 | 2750 | 0.4228 | 0.316 |
| 0.5458 | 12.0 | 3000 | 0.4228 | 0.32 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0