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

# FPC_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: 0.4029
- Accuracy: 0.9153

## 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  | 1.1683          | 0.7397   |
| 1.5827        | 2.0   | 570  | 0.6301          | 0.8481   |
| 1.5827        | 3.0   | 855  | 0.5046          | 0.8755   |
| 0.4453        | 4.0   | 1140 | 0.4156          | 0.8941   |
| 0.4453        | 5.0   | 1425 | 0.3790          | 0.9153   |
| 0.1964        | 6.0   | 1710 | 0.3949          | 0.9078   |
| 0.1964        | 7.0   | 1995 | 0.3969          | 0.9153   |
| 0.1072        | 8.0   | 2280 | 0.4002          | 0.9153   |
| 0.0611        | 9.0   | 2565 | 0.4027          | 0.9141   |
| 0.0611        | 10.0  | 2850 | 0.4029          | 0.9153   |


### Framework versions

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