mt5_base-qg-ap-nopeft
This model is a fine-tuned version of google/mt5-base on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:
- Loss: 1.5832
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: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8875 | 1.0 | 1615 | 1.6600 |
| 1.7353 | 2.0 | 3231 | 1.6089 |
| 1.6382 | 3.0 | 4847 | 1.5926 |
| 1.5789 | 4.0 | 6463 | 1.5868 |
| 1.5343 | 5.0 | 8075 | 1.5832 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for tiagoblima/mt5_base-qg-ap-nopeft
Base model
google/mt5-base