metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task3-dataset1
results: []
mt5-small-task3-dataset1
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: 1.3592
- Accuracy: 0.14
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 |
|---|---|---|---|---|
| 1.6139 | 1.0 | 250 | 1.3916 | 0.102 |
| 1.5289 | 2.0 | 500 | 1.4550 | 0.108 |
| 1.4823 | 3.0 | 750 | 1.3630 | 0.132 |
| 1.4372 | 4.0 | 1000 | 1.3930 | 0.116 |
| 1.4563 | 5.0 | 1250 | 1.3857 | 0.124 |
| 1.4347 | 6.0 | 1500 | 1.3708 | 0.124 |
| 1.4303 | 7.0 | 1750 | 1.3856 | 0.136 |
| 1.4072 | 8.0 | 2000 | 1.3595 | 0.136 |
| 1.4045 | 9.0 | 2250 | 1.3677 | 0.13 |
| 1.3861 | 10.0 | 2500 | 1.3511 | 0.13 |
| 1.376 | 11.0 | 2750 | 1.3543 | 0.136 |
| 1.3699 | 12.0 | 3000 | 1.3592 | 0.14 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0