metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task1-dataset4
results: []
mt5-small-task1-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: 1.3594
- Accuracy: 0.086
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 |
|---|---|---|---|---|
| 7.9758 | 1.0 | 250 | 2.3199 | 0.024 |
| 2.7257 | 2.0 | 500 | 1.9097 | 0.016 |
| 2.2688 | 3.0 | 750 | 1.7108 | 0.044 |
| 1.9809 | 4.0 | 1000 | 1.5786 | 0.062 |
| 1.8098 | 5.0 | 1250 | 1.5045 | 0.064 |
| 1.6944 | 6.0 | 1500 | 1.4686 | 0.066 |
| 1.6063 | 7.0 | 1750 | 1.4260 | 0.08 |
| 1.5417 | 8.0 | 2000 | 1.3970 | 0.086 |
| 1.4947 | 9.0 | 2250 | 1.3749 | 0.086 |
| 1.4704 | 10.0 | 2500 | 1.3714 | 0.086 |
| 1.44 | 11.0 | 2750 | 1.3672 | 0.088 |
| 1.4337 | 12.0 | 3000 | 1.3594 | 0.086 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0