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---
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
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