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: 0.6492
- Accuracy: 0.626
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 |
|---|---|---|---|---|
| 10.2312 | 1.0 | 250 | 2.1246 | 0.194 |
| 2.2998 | 2.0 | 500 | 1.4171 | 0.194 |
| 1.6645 | 3.0 | 750 | 1.2718 | 0.206 |
| 1.4575 | 4.0 | 1000 | 1.1549 | 0.258 |
| 1.3335 | 5.0 | 1250 | 1.0267 | 0.432 |
| 1.1696 | 6.0 | 1500 | 0.8811 | 0.5 |
| 0.9974 | 7.0 | 1750 | 0.7960 | 0.532 |
| 0.9162 | 8.0 | 2000 | 0.7576 | 0.556 |
| 0.8463 | 9.0 | 2250 | 0.7342 | 0.588 |
| 0.8078 | 10.0 | 2500 | 0.6856 | 0.606 |
| 0.7751 | 11.0 | 2750 | 0.6655 | 0.612 |
| 0.7533 | 12.0 | 3000 | 0.6645 | 0.622 |
| 0.7337 | 13.0 | 3250 | 0.6625 | 0.62 |
| 0.7154 | 14.0 | 3500 | 0.6640 | 0.624 |
| 0.7038 | 15.0 | 3750 | 0.6492 | 0.626 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0