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: 0.4838
- Accuracy: 0.224
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.0046 | 1.0 | 250 | 1.3356 | 0.008 |
| 1.8352 | 2.0 | 500 | 0.9395 | 0.082 |
| 1.2215 | 3.0 | 750 | 0.7493 | 0.13 |
| 0.9711 | 4.0 | 1000 | 0.6537 | 0.162 |
| 0.8269 | 5.0 | 1250 | 0.5908 | 0.176 |
| 0.741 | 6.0 | 1500 | 0.5548 | 0.19 |
| 0.6896 | 7.0 | 1750 | 0.5377 | 0.194 |
| 0.651 | 8.0 | 2000 | 0.5198 | 0.21 |
| 0.627 | 9.0 | 2250 | 0.5086 | 0.224 |
| 0.606 | 10.0 | 2500 | 0.5006 | 0.228 |
| 0.5849 | 11.0 | 2750 | 0.4948 | 0.232 |
| 0.5733 | 12.0 | 3000 | 0.4928 | 0.23 |
| 0.5607 | 13.0 | 3250 | 0.4851 | 0.224 |
| 0.5599 | 14.0 | 3500 | 0.4842 | 0.222 |
| 0.5584 | 15.0 | 3750 | 0.4838 | 0.224 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0