metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task1-dataset2
results: []
mt5-small-task1-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: 0.3880
- Accuracy: 0.182
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 |
|---|---|---|---|---|
| 4.3254 | 1.0 | 250 | 0.7650 | 0.0 |
| 0.9928 | 2.0 | 500 | 0.6343 | 0.034 |
| 0.725 | 3.0 | 750 | 0.5447 | 0.114 |
| 0.6197 | 4.0 | 1000 | 0.5004 | 0.106 |
| 0.566 | 5.0 | 1250 | 0.4723 | 0.106 |
| 0.5267 | 6.0 | 1500 | 0.4457 | 0.128 |
| 0.4978 | 7.0 | 1750 | 0.4222 | 0.144 |
| 0.4803 | 8.0 | 2000 | 0.4103 | 0.156 |
| 0.4683 | 9.0 | 2250 | 0.3969 | 0.172 |
| 0.4583 | 10.0 | 2500 | 0.3931 | 0.178 |
| 0.4526 | 11.0 | 2750 | 0.3901 | 0.18 |
| 0.4438 | 12.0 | 3000 | 0.3880 | 0.182 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0