---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: afx-grouping-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. -->

# afx-grouping-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: 0.0154
- Accuracy: 1.0

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 0.9060          | 0.7674   |
| No log        | 2.0   | 12   | 0.7408          | 0.7674   |
| No log        | 3.0   | 18   | 0.6209          | 0.8023   |
| No log        | 4.0   | 24   | 0.5090          | 0.8023   |
| No log        | 5.0   | 30   | 0.4159          | 0.8488   |
| No log        | 6.0   | 36   | 0.3407          | 0.8837   |
| No log        | 7.0   | 42   | 0.2719          | 0.9535   |
| No log        | 8.0   | 48   | 0.2218          | 0.9535   |
| No log        | 9.0   | 54   | 0.1801          | 0.9535   |
| No log        | 10.0  | 60   | 0.1476          | 0.9535   |
| No log        | 11.0  | 66   | 0.1164          | 0.9767   |
| No log        | 12.0  | 72   | 0.0937          | 0.9884   |
| No log        | 13.0  | 78   | 0.0723          | 1.0      |
| No log        | 14.0  | 84   | 0.0604          | 1.0      |
| No log        | 15.0  | 90   | 0.0485          | 1.0      |
| No log        | 16.0  | 96   | 0.0395          | 1.0      |
| No log        | 17.0  | 102  | 0.0339          | 1.0      |
| No log        | 18.0  | 108  | 0.0307          | 1.0      |
| No log        | 19.0  | 114  | 0.0262          | 1.0      |
| No log        | 20.0  | 120  | 0.0240          | 1.0      |
| No log        | 21.0  | 126  | 0.0215          | 1.0      |
| No log        | 22.0  | 132  | 0.0200          | 1.0      |
| No log        | 23.0  | 138  | 0.0189          | 1.0      |
| No log        | 24.0  | 144  | 0.0178          | 1.0      |
| No log        | 25.0  | 150  | 0.0170          | 1.0      |
| No log        | 26.0  | 156  | 0.0164          | 1.0      |
| No log        | 27.0  | 162  | 0.0160          | 1.0      |
| No log        | 28.0  | 168  | 0.0157          | 1.0      |
| No log        | 29.0  | 174  | 0.0155          | 1.0      |
| No log        | 30.0  | 180  | 0.0154          | 1.0      |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3