metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task2-dataset4
results: []
mt5-small-task2-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: 0.5227
- Accuracy: 0.212
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 |
|---|---|---|---|---|
| 6.2329 | 1.0 | 250 | 1.3076 | 0.006 |
| 1.6853 | 2.0 | 500 | 0.8967 | 0.09 |
| 1.123 | 3.0 | 750 | 0.7346 | 0.132 |
| 0.907 | 4.0 | 1000 | 0.6587 | 0.162 |
| 0.7875 | 5.0 | 1250 | 0.6083 | 0.17 |
| 0.7135 | 6.0 | 1500 | 0.5807 | 0.188 |
| 0.675 | 7.0 | 1750 | 0.5566 | 0.196 |
| 0.6403 | 8.0 | 2000 | 0.5427 | 0.206 |
| 0.6229 | 9.0 | 2250 | 0.5354 | 0.208 |
| 0.6046 | 10.0 | 2500 | 0.5329 | 0.212 |
| 0.5974 | 11.0 | 2750 | 0.5237 | 0.212 |
| 0.5875 | 12.0 | 3000 | 0.5227 | 0.212 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0