---
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