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byt5-small-cstop_artificial
This model is a fine-tuned version of google/byt5-small on the cstop_artificial dataset. It achieves the following results on the evaluation set:
- Loss: 0.0414
- Exact Match: 0.8283
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- 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 |
|---|---|---|---|---|
| 0.2091 | 25.0 | 200 | 0.0555 | 0.0107 |
| 0.0129 | 50.0 | 400 | 0.0414 | 0.0411 |
| 0.004 | 75.0 | 600 | 0.0483 | 0.0394 |
| 0.0018 | 100.0 | 800 | 0.0556 | 0.0394 |
| 0.0011 | 125.0 | 1000 | 0.0598 | 0.0394 |
| 0.0008 | 150.0 | 1200 | 0.0580 | 0.0376 |
| 0.0008 | 175.0 | 1400 | 0.0627 | 0.0394 |
| 0.0005 | 200.0 | 1600 | 0.0658 | 0.0376 |
| 0.0005 | 225.0 | 1800 | 0.0657 | 0.0376 |
| 0.0004 | 250.0 | 2000 | 0.0687 | 0.0376 |
| 0.0003 | 275.0 | 2200 | 0.0731 | 0.0376 |
| 0.0003 | 300.0 | 2400 | 0.0723 | 0.0376 |
| 0.0002 | 325.0 | 2600 | 0.0736 | 0.0376 |
| 0.0002 | 350.0 | 2800 | 0.0741 | 0.0394 |
| 0.0002 | 375.0 | 3000 | 0.0745 | 0.0394 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
