---
license: mit
base_model: microsoft/deberta-v3-small
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: fin_subcate
  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. -->

# fin_subcate

This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0671
- Accuracy: 0.6825
- F1: 0.7671
- Precision: 0.8756
- Recall: 0.6825

## 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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 64   | 0.1875          | 0.0      | 0.0    | 0.0       | 0.0    |
| No log        | 2.0   | 128  | 0.1179          | 0.5134   | 0.6578 | 0.9153    | 0.5134 |
| No log        | 3.0   | 192  | 0.0931          | 0.5124   | 0.6680 | 0.9593    | 0.5124 |
| No log        | 4.0   | 256  | 0.0798          | 0.6231   | 0.7343 | 0.8936    | 0.6231 |
| No log        | 5.0   | 320  | 0.0717          | 0.6508   | 0.7550 | 0.8989    | 0.6508 |
| No log        | 6.0   | 384  | 0.0684          | 0.6746   | 0.7629 | 0.8777    | 0.6746 |
| No log        | 7.0   | 448  | 0.0671          | 0.6825   | 0.7671 | 0.8756    | 0.6825 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1