metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task1-dataset2
results: []
mt5-small-task1-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: 1.0670
- Accuracy: 0.19
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 10.1157 | 1.0 | 250 | 2.0629 | 0.0 |
| 2.7164 | 2.0 | 500 | 1.6984 | 0.092 |
| 2.1384 | 3.0 | 750 | 1.6345 | 0.098 |
| 1.8496 | 4.0 | 1000 | 1.5214 | 0.118 |
| 1.6276 | 5.0 | 1250 | 1.3418 | 0.14 |
| 1.469 | 6.0 | 1500 | 1.2577 | 0.15 |
| 1.3461 | 7.0 | 1750 | 1.2325 | 0.162 |
| 1.2791 | 8.0 | 2000 | 1.1790 | 0.16 |
| 1.2349 | 9.0 | 2250 | 1.1320 | 0.174 |
| 1.1826 | 10.0 | 2500 | 1.1118 | 0.176 |
| 1.1504 | 11.0 | 2750 | 1.1063 | 0.19 |
| 1.1327 | 12.0 | 3000 | 1.0731 | 0.186 |
| 1.1168 | 13.0 | 3250 | 1.0617 | 0.186 |
| 1.1038 | 14.0 | 3500 | 1.0735 | 0.182 |
| 1.0929 | 15.0 | 3750 | 1.0670 | 0.19 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0