metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mt5-small-task2-dataset1
results: []
mt5-small-task2-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: 0.2115
- F1: 0.74
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 | F1 |
|---|---|---|---|---|
| 0.4196 | 1.0 | 250 | 0.4480 | 0.644 |
| 0.4665 | 2.0 | 500 | 0.3543 | 0.652 |
| 0.4327 | 3.0 | 750 | 0.3109 | 0.67 |
| 0.3638 | 4.0 | 1000 | 0.2842 | 0.692 |
| 0.3297 | 5.0 | 1250 | 0.2666 | 0.708 |
| 0.2953 | 6.0 | 1500 | 0.2344 | 0.728 |
| 0.2722 | 7.0 | 1750 | 0.2328 | 0.722 |
| 0.2578 | 8.0 | 2000 | 0.2224 | 0.7300 |
| 0.2435 | 9.0 | 2250 | 0.2171 | 0.732 |
| 0.2323 | 10.0 | 2500 | 0.2123 | 0.736 |
| 0.2279 | 11.0 | 2750 | 0.2121 | 0.74 |
| 0.2224 | 12.0 | 3000 | 0.2115 | 0.74 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0