<!-- 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. -->
t5-base-pointer-adv-mtop
This model is a fine-tuned version of google/mt5-base on the mtop dataset. It achieves the following results on the evaluation set:
- Loss: 0.1281
- Exact Match: 0.7105
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 512
- 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 |
|---|---|---|---|---|
| 1.7704 | 1.09 | 200 | 0.3664 | 0.1315 |
| 1.9751 | 2.17 | 400 | 0.2091 | 0.3400 |
| 1.0019 | 3.26 | 600 | 0.1453 | 0.4586 |
| 1.313 | 4.35 | 800 | 0.1313 | 0.5065 |
| 0.6593 | 5.43 | 1000 | 0.1281 | 0.5266 |
| 0.3216 | 6.52 | 1200 | 0.1317 | 0.5253 |
| 0.4614 | 7.61 | 1400 | 0.1508 | 0.5262 |
| 0.3577 | 8.69 | 1600 | 0.1422 | 0.5360 |
| 0.3748 | 9.78 | 1800 | 0.1419 | 0.5459 |
| 0.2422 | 10.87 | 2000 | 0.1603 | 0.5356 |
| 0.4443 | 11.96 | 2200 | 0.1526 | 0.5472 |
| 0.2671 | 13.04 | 2400 | 0.1606 | 0.5481 |
| 0.227 | 14.13 | 2600 | 0.1774 | 0.5441 |
| 0.2053 | 15.22 | 2800 | 0.1752 | 0.5441 |
| 0.1517 | 16.3 | 3000 | 0.1770 | 0.5481 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
