byt5-small-mtop
This model is a fine-tuned version of google/byt5-small on the mtop dataset. It achieves the following results on the evaluation set:
- Loss: 0.0697
- Exact Match: 0.7620
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 |
---|---|---|---|---|
0.5431 | 6.65 | 200 | 0.1532 | 0.0940 |
0.073 | 13.33 | 400 | 0.0697 | 0.2823 |
0.0247 | 19.98 | 600 | 0.0721 | 0.3007 |
0.0128 | 26.65 | 800 | 0.0863 | 0.3038 |
0.0082 | 33.33 | 1000 | 0.0950 | 0.3078 |
0.0051 | 39.98 | 1200 | 0.0994 | 0.3029 |
0.0036 | 46.65 | 1400 | 0.1046 | 0.3074 |
0.0027 | 53.33 | 1600 | 0.1022 | 0.3087 |
0.0022 | 59.98 | 1800 | 0.1067 | 0.3096 |
0.0016 | 66.65 | 2000 | 0.1081 | 0.3101 |
0.0011 | 73.33 | 2200 | 0.1141 | 0.3105 |
0.0008 | 79.98 | 2400 | 0.1170 | 0.3074 |
0.0007 | 86.65 | 2600 | 0.1198 | 0.3083 |
0.0006 | 93.33 | 2800 | 0.1212 | 0.3083 |
0.0005 | 99.98 | 3000 | 0.1218 | 0.3087 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.2
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