metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task2-dataset1
results: []
mt5-small-task2-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: 0.2211
- Accuracy: 0.758
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 |
|---|---|---|---|---|
| 0.9386 | 1.0 | 250 | 0.5169 | 0.622 |
| 0.6505 | 2.0 | 500 | 0.4347 | 0.672 |
| 0.6135 | 3.0 | 750 | 0.3889 | 0.686 |
| 0.5125 | 4.0 | 1000 | 0.3268 | 0.698 |
| 0.4423 | 5.0 | 1250 | 0.3011 | 0.712 |
| 0.3973 | 6.0 | 1500 | 0.2919 | 0.726 |
| 0.3701 | 7.0 | 1750 | 0.2713 | 0.73 |
| 0.337 | 8.0 | 2000 | 0.2540 | 0.738 |
| 0.326 | 9.0 | 2250 | 0.2502 | 0.744 |
| 0.2946 | 10.0 | 2500 | 0.2383 | 0.744 |
| 0.2866 | 11.0 | 2750 | 0.2309 | 0.75 |
| 0.2789 | 12.0 | 3000 | 0.2304 | 0.754 |
| 0.2701 | 13.0 | 3250 | 0.2260 | 0.762 |
| 0.2612 | 14.0 | 3500 | 0.2226 | 0.76 |
| 0.2576 | 15.0 | 3750 | 0.2211 | 0.758 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0