<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
greek-mt5-4ep-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: 1.3009
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 |
|---|---|---|---|
| 4.2429 | 0.34 | 100 | 1.6027 |
| 1.9207 | 0.67 | 200 | 1.4479 |
| 1.8066 | 1.01 | 300 | 1.3978 |
| 1.7074 | 1.35 | 400 | 1.3752 |
| 1.6697 | 1.69 | 500 | 1.3437 |
| 1.6326 | 2.03 | 600 | 1.3319 |
| 1.5928 | 2.36 | 700 | 1.3191 |
| 1.5773 | 2.7 | 800 | 1.3219 |
| 1.5644 | 3.04 | 900 | 1.3152 |
| 1.5462 | 3.38 | 1000 | 1.3056 |
| 1.5285 | 3.72 | 1100 | 1.3009 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
