metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task3-dataset4
results: []
mt5-small-task3-dataset4
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: 1.6024
- Accuracy: 0.038
- Mse: 6.4524
- Log-distance: 0.6628
- S Score: 0.4912
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 | Mse | Log-distance | S Score |
|---|---|---|---|---|---|---|---|
| 12.4369 | 1.0 | 250 | 2.2550 | 0.038 | 6.7116 | 0.6817 | 0.4748 |
| 3.1387 | 2.0 | 500 | 1.8576 | 0.024 | 5.8813 | 0.7455 | 0.4552 |
| 2.3265 | 3.0 | 750 | 1.6663 | 0.05 | 7.7168 | 0.7232 | 0.4556 |
| 1.9955 | 4.0 | 1000 | 1.6121 | 0.04 | 6.3175 | 0.6614 | 0.4908 |
| 1.8234 | 5.0 | 1250 | 1.6380 | 0.034 | 6.8099 | 0.6780 | 0.4860 |
| 1.7591 | 6.0 | 1500 | 1.5953 | 0.04 | 6.3175 | 0.6614 | 0.4908 |
| 1.7194 | 7.0 | 1750 | 1.5996 | 0.054 | 6.0821 | 0.6559 | 0.4976 |
| 1.6988 | 8.0 | 2000 | 1.5970 | 0.048 | 6.6575 | 0.6618 | 0.4952 |
| 1.6831 | 9.0 | 2250 | 1.6024 | 0.038 | 6.4524 | 0.6628 | 0.4912 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0