<!-- 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-vanilla-mtop
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2080
- Exact Match: 0.6394
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 |
|---|---|---|---|---|
| 1.0516 | 6.65 | 200 | 0.1173 | 0.5875 |
| 0.0541 | 13.33 | 400 | 0.1130 | 0.6331 |
| 0.0468 | 19.98 | 600 | 0.1290 | 0.6036 |
| 0.0241 | 26.65 | 800 | 0.1306 | 0.6273 |
| 0.0125 | 33.33 | 1000 | 0.1425 | 0.6291 |
| 0.0077 | 39.98 | 1200 | 0.1518 | 0.6345 |
| 0.0054 | 46.65 | 1400 | 0.1643 | 0.6362 |
| 0.004 | 53.33 | 1600 | 0.1718 | 0.6362 |
| 0.0033 | 59.98 | 1800 | 0.1803 | 0.6336 |
| 0.0026 | 66.65 | 2000 | 0.1808 | 0.6394 |
| 0.0021 | 73.33 | 2200 | 0.1915 | 0.6371 |
| 0.0017 | 79.98 | 2400 | 0.1919 | 0.6403 |
| 0.0013 | 86.65 | 2600 | 0.2024 | 0.6358 |
| 0.0011 | 93.33 | 2800 | 0.2049 | 0.6353 |
| 0.0008 | 99.98 | 3000 | 0.2080 | 0.6394 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
