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: 0.4462
- 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.6376 | 1.0 | 250 | 1.2577 | 0.004 |
| 1.6709 | 2.0 | 500 | 0.8265 | 0.088 |
| 1.0413 | 3.0 | 750 | 0.6782 | 0.144 |
| 0.8324 | 4.0 | 1000 | 0.5901 | 0.222 |
| 0.7187 | 5.0 | 1250 | 0.5476 | 0.246 |
| 0.6556 | 6.0 | 1500 | 0.5215 | 0.276 |
| 0.6089 | 7.0 | 1750 | 0.5028 | 0.274 |
| 0.5736 | 8.0 | 2000 | 0.4930 | 0.304 |
| 0.5385 | 9.0 | 2250 | 0.4695 | 0.296 |
| 0.5195 | 10.0 | 2500 | 0.4650 | 0.304 |
| 0.5073 | 11.0 | 2750 | 0.4571 | 0.304 |
| 0.4895 | 12.0 | 3000 | 0.4491 | 0.306 |
| 0.4836 | 13.0 | 3250 | 0.4495 | 0.316 |
| 0.4745 | 14.0 | 3500 | 0.4460 | 0.318 |
| 0.4736 | 15.0 | 3750 | 0.4462 | 0.32 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0