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: 1.6010
- Accuracy: 0.036
- Mse: 6.3081
- Log-distance: 0.6632
- S Score: 0.4988
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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mse | Log-distance | S Score |
|---|---|---|---|---|---|---|---|
| 10.7728 | 1.0 | 250 | 2.2587 | 0.022 | 7.0471 | 0.7963 | 0.4292 |
| 3.1044 | 2.0 | 500 | 1.8035 | 0.014 | 5.9086 | 0.7763 | 0.4340 |
| 2.3369 | 3.0 | 750 | 1.6404 | 0.058 | 7.0001 | 0.6805 | 0.4972 |
| 2.0228 | 4.0 | 1000 | 1.6106 | 0.056 | 6.9718 | 0.6808 | 0.4948 |
| 1.8688 | 5.0 | 1250 | 1.5910 | 0.044 | 5.8977 | 0.7091 | 0.4624 |
| 1.8065 | 6.0 | 1500 | 1.6321 | 0.036 | 6.2658 | 0.6631 | 0.4992 |
| 1.7671 | 7.0 | 1750 | 1.5987 | 0.058 | 6.9883 | 0.6792 | 0.4976 |
| 1.7373 | 8.0 | 2000 | 1.6174 | 0.06 | 6.9132 | 0.6780 | 0.4960 |
| 1.7366 | 9.0 | 2250 | 1.6105 | 0.042 | 6.6193 | 0.6712 | 0.4976 |
| 1.7201 | 10.0 | 2500 | 1.6123 | 0.038 | 6.5863 | 0.6745 | 0.4960 |
| 1.7171 | 11.0 | 2750 | 1.6034 | 0.032 | 6.1936 | 0.6719 | 0.4908 |
| 1.7001 | 12.0 | 3000 | 1.6010 | 0.036 | 6.3081 | 0.6632 | 0.4988 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0