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t5-base-adv-top_v2
This model is a fine-tuned version of google/mt5-base on the top_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0336
- Exact Match: 0.8540
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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|---|---|---|---|---|
| 1.4252 | 0.21 | 200 | 0.3381 | 0.1505 |
| 0.4478 | 0.41 | 400 | 0.0673 | 0.3914 |
| 0.38 | 0.62 | 600 | 0.0533 | 0.4060 |
| 0.3603 | 0.82 | 800 | 0.0490 | 0.4132 |
| 0.3539 | 1.03 | 1000 | 0.0420 | 0.4186 |
| 0.3425 | 1.23 | 1200 | 0.0396 | 0.4219 |
| 0.3373 | 1.44 | 1400 | 0.0384 | 0.4233 |
| 0.3345 | 1.64 | 1600 | 0.0361 | 0.4247 |
| 0.3334 | 1.85 | 1800 | 0.0357 | 0.4255 |
| 0.33 | 2.05 | 2000 | 0.0361 | 0.4277 |
| 0.3269 | 2.26 | 2200 | 0.0349 | 0.4278 |
| 0.3262 | 2.46 | 2400 | 0.0345 | 0.4288 |
| 0.324 | 2.67 | 2600 | 0.0342 | 0.4285 |
| 0.3212 | 2.87 | 2800 | 0.0337 | 0.4295 |
| 0.3257 | 3.08 | 3000 | 0.0336 | 0.4293 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
