---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: PFPC_model
  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. -->

# PFPC_model

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: 0.4653
- Accuracy: 0.9042

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 285  | 1.2663          | 0.7251   |
| 1.6418        | 2.0   | 570  | 0.7247          | 0.8420   |
| 1.6418        | 3.0   | 855  | 0.5652          | 0.8657   |
| 0.5038        | 4.0   | 1140 | 0.4997          | 0.8769   |
| 0.5038        | 5.0   | 1425 | 0.4709          | 0.8905   |
| 0.2428        | 6.0   | 1710 | 0.4769          | 0.8968   |
| 0.2428        | 7.0   | 1995 | 0.4764          | 0.8980   |
| 0.1256        | 8.0   | 2280 | 0.4716          | 0.9067   |
| 0.0758        | 9.0   | 2565 | 0.4710          | 0.9055   |
| 0.0758        | 10.0  | 2850 | 0.4653          | 0.9042   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3