---
library_name: transformers
license: apache-2.0
base_model: skt/A.X-Encoder-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: hello_classification
  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. -->

# hello_classification

This model is a fine-tuned version of [skt/A.X-Encoder-base](https://huggingface.co/skt/A.X-Encoder-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0077
- Precision: 1.0
- Recall: 0.9919
- F1: 0.9959
- Accuracy: 0.9983

## 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: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 73   | 0.0225          | 0.9770    | 0.9860 | 0.9815 | 0.9931   |
| No log        | 2.0   | 146  | 0.0194          | 0.9858    | 0.9721 | 0.9789 | 0.9923   |
| No log        | 3.0   | 219  | 0.0147          | 0.9907    | 0.9860 | 0.9883 | 0.9957   |
| No log        | 4.0   | 292  | 0.0182          | 0.9907    | 0.9907 | 0.9907 | 0.9966   |
| No log        | 5.0   | 365  | 0.0144          | 0.9907    | 0.9860 | 0.9883 | 0.9957   |
| No log        | 6.0   | 438  | 0.0139          | 0.9907    | 0.9860 | 0.9883 | 0.9957   |
| 0.0144        | 7.0   | 511  | 0.0207          | 0.9907    | 0.9860 | 0.9883 | 0.9957   |
| 0.0144        | 8.0   | 584  | 0.0183          | 0.9906    | 0.9814 | 0.9860 | 0.9948   |


### Framework versions

- Transformers 4.51.0
- Pytorch 2.7.0+cu126
- Tokenizers 0.21.2