| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: primel/intent-classifier |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: intent-classifier |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # intent-classifier |
| |
|
| | This model is a fine-tuned version of [primel/intent-classifier](https://huggingface.co/primel/intent-classifier) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0000 |
| | - Accuracy: 1.0 |
| | - F1: 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: 32 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
| | | 0.0102 | 1.0 | 2876 | 0.0161 | 0.9978 | 0.9978 | |
| | | 0.0264 | 2.0 | 5752 | 0.0036 | 0.9995 | 0.9995 | |
| | | 0.0 | 3.0 | 8628 | 0.0000 | 1.0 | 1.0 | |
| | | 0.0053 | 4.0 | 11504 | 0.0036 | 0.9996 | 0.9996 | |
| | | 0.013 | 5.0 | 14380 | 0.0031 | 0.9996 | 0.9996 | |
| | | 0.0051 | 6.0 | 17256 | 0.0022 | 0.9998 | 0.9998 | |
| | | 0.0 | 7.0 | 20132 | 0.0000 | 1.0 | 1.0 | |
| | | 0.0036 | 8.0 | 23008 | 0.0001 | 1.0 | 1.0 | |
| | | 0.0005 | 9.0 | 25884 | 0.0001 | 0.9999 | 0.9999 | |
| | | 0.0 | 10.0 | 28760 | 0.0001 | 1.0 | 1.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| |
|
