metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task1-dataset1
results: []
mt5-small-task1-dataset1
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: 0.6887
- Accuracy: 0.618
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 |
|---|---|---|---|---|
| 10.3747 | 1.0 | 250 | 1.8894 | 0.19 |
| 2.1263 | 2.0 | 500 | 1.3543 | 0.2 |
| 1.5986 | 3.0 | 750 | 1.2566 | 0.2 |
| 1.43 | 4.0 | 1000 | 1.0943 | 0.374 |
| 1.2409 | 5.0 | 1250 | 0.9063 | 0.506 |
| 1.0295 | 6.0 | 1500 | 0.8092 | 0.552 |
| 0.9365 | 7.0 | 1750 | 0.7702 | 0.552 |
| 0.9121 | 8.0 | 2000 | 0.7411 | 0.59 |
| 0.8275 | 9.0 | 2250 | 0.7289 | 0.588 |
| 0.8063 | 10.0 | 2500 | 0.6968 | 0.61 |
| 0.7903 | 11.0 | 2750 | 0.6868 | 0.616 |
| 0.7674 | 12.0 | 3000 | 0.6887 | 0.618 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0