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greek-mt5-4ep-512
This model is a fine-tuned version of google/mt5-base on the squad_modified_for_t5_qg_2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2918
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7423 | 0.34 | 100 | 1.5884 |
| 1.916 | 0.67 | 200 | 1.4395 |
| 1.8001 | 1.01 | 300 | 1.3888 |
| 1.7045 | 1.35 | 400 | 1.3651 |
| 1.6636 | 1.69 | 500 | 1.3388 |
| 1.6221 | 2.03 | 600 | 1.3208 |
| 1.5904 | 2.36 | 700 | 1.3144 |
| 1.5694 | 2.7 | 800 | 1.3106 |
| 1.5576 | 3.04 | 900 | 1.3017 |
| 1.5428 | 3.38 | 1000 | 1.2966 |
| 1.5243 | 3.72 | 1100 | 1.2918 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
