distilbert-base-uncased-distilled-clinc
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1776
- Accuracy: 0.9245
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: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 318 | 0.6000 | 0.7052 |
0.7771 | 2.0 | 636 | 0.3261 | 0.8635 |
0.7771 | 3.0 | 954 | 0.2270 | 0.9103 |
0.3256 | 4.0 | 1272 | 0.1885 | 0.9245 |
0.2176 | 5.0 | 1590 | 0.1776 | 0.9245 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for soumilj/distilbert-base-uncased-distilled-clinc
Base model
distilbert/distilbert-base-uncased