cp_intent_model
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 150 | 0.0020 | 1.0 |
| No log | 2.0 | 300 | 0.0203 | 0.995 |
| No log | 3.0 | 450 | 0.0005 | 1.0 |
| 0.0321 | 4.0 | 600 | 0.0003 | 1.0 |
| 0.0321 | 5.0 | 750 | 0.0003 | 1.0 |
| 0.0321 | 6.0 | 900 | 0.0002 | 1.0 |
| 0.0004 | 7.0 | 1050 | 0.0002 | 1.0 |
| 0.0004 | 8.0 | 1200 | 0.0002 | 1.0 |
| 0.0004 | 9.0 | 1350 | 0.0002 | 1.0 |
| 0.0002 | 10.0 | 1500 | 0.0002 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for sibozhu/cp_intent_model
Base model
google-bert/bert-base-multilingual-cased