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customer-support-intent-albert
This model is a fine-tuned version of albert-base-v2 for intent classification on the bitext/Bitext-customer-support-llm-chatbot-training-dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0154
- Accuracy: 0.9988
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1993 | 1.0 | 409 | 0.0969 | 0.9927 |
| 0.0304 | 2.0 | 818 | 0.0247 | 0.9951 |
| 0.0087 | 3.0 | 1227 | 0.0169 | 0.9963 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
