greek-mt5-5ep-384
This model is a fine-tuned version of google/mt5-base on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.2857
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4681 | 0.34 | 100 | 1.6231 |
| 1.9338 | 0.67 | 200 | 1.4427 |
| 1.8008 | 1.01 | 300 | 1.3917 |
| 1.6977 | 1.35 | 400 | 1.3656 |
| 1.6594 | 1.69 | 500 | 1.3360 |
| 1.6202 | 2.03 | 600 | 1.3239 |
| 1.5759 | 2.36 | 700 | 1.3143 |
| 1.5597 | 2.7 | 800 | 1.3093 |
| 1.544 | 3.04 | 900 | 1.3032 |
| 1.519 | 3.38 | 1000 | 1.2930 |
| 1.4996 | 3.72 | 1100 | 1.2923 |
| 1.5022 | 4.05 | 1200 | 1.2852 |
| 1.477 | 4.39 | 1300 | 1.2887 |
| 1.4755 | 4.73 | 1400 | 1.2857 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2