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t5-small-vanilla-cstop_artificial
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1506
- Exact Match: 0.5725
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- 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 |
|---|---|---|---|---|
| 1.4041 | 28.5 | 200 | 0.1008 | 0.4758 |
| 0.047 | 57.13 | 400 | 0.1029 | 0.5367 |
| 0.021 | 85.63 | 600 | 0.1077 | 0.5617 |
| 0.012 | 114.25 | 800 | 0.1214 | 0.5689 |
| 0.0079 | 142.75 | 1000 | 0.1273 | 0.5671 |
| 0.0809 | 171.38 | 1200 | 0.1192 | 0.5653 |
| 0.0063 | 199.88 | 1400 | 0.1329 | 0.5653 |
| 0.0042 | 228.5 | 1600 | 0.1402 | 0.5707 |
| 0.0036 | 257.13 | 1800 | 0.1335 | 0.5617 |
| 0.0029 | 285.63 | 2000 | 0.1423 | 0.5689 |
| 0.0023 | 314.25 | 2200 | 0.1515 | 0.5671 |
| 0.0019 | 342.75 | 2400 | 0.1569 | 0.5689 |
| 0.0018 | 371.38 | 2600 | 0.1517 | 0.5689 |
| 0.0016 | 399.88 | 2800 | 0.1527 | 0.5725 |
| 0.0016 | 428.5 | 3000 | 0.1506 | 0.5725 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
