---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CFGFP_BasicTypeCalssifier_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CFGFP_BasicTypeCalssifier_v1

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5075
- Accuracy: 0.9120

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0627        | 1.0   | 3588  | 0.9520          | 0.8411   |
| 0.6547        | 2.0   | 7176  | 0.6571          | 0.8885   |
| 0.4802        | 3.0   | 10764 | 0.5572          | 0.9020   |
| 0.3804        | 4.0   | 14352 | 0.5133          | 0.9089   |
| 0.3077        | 5.0   | 17940 | 0.5075          | 0.9120   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3