---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: aift-model-review-multiple-label-classification
  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. -->

# aift-model-review-multiple-label-classification

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: 3.0090
- Accuracy Thresh: 0.9179

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|
| No log        | 1.0   | 129  | 2.2623          | 0.3531          |
| No log        | 2.0   | 258  | 1.6019          | 0.5913          |
| No log        | 3.0   | 387  | 1.3774          | 0.7378          |
| 2.6175        | 4.0   | 516  | 1.3383          | 0.7875          |
| 2.6175        | 5.0   | 645  | 1.2456          | 0.8006          |
| 2.6175        | 6.0   | 774  | 1.3044          | 0.8679          |
| 2.6175        | 7.0   | 903  | 1.4123          | 0.8746          |
| 0.7127        | 8.0   | 1032 | 1.5500          | 0.8872          |
| 0.7127        | 9.0   | 1161 | 1.6639          | 0.8894          |
| 0.7127        | 10.0  | 1290 | 1.8716          | 0.9024          |
| 0.7127        | 11.0  | 1419 | 1.8131          | 0.8985          |
| 0.3804        | 12.0  | 1548 | 2.1177          | 0.9059          |
| 0.3804        | 13.0  | 1677 | 2.1873          | 0.9105          |
| 0.3804        | 14.0  | 1806 | 2.3237          | 0.9098          |
| 0.3804        | 15.0  | 1935 | 2.5947          | 0.9112          |
| 0.2297        | 16.0  | 2064 | 2.5776          | 0.9116          |
| 0.2297        | 17.0  | 2193 | 2.7601          | 0.9158          |
| 0.2297        | 18.0  | 2322 | 2.6187          | 0.9165          |
| 0.2297        | 19.0  | 2451 | 2.9175          | 0.9165          |
| 0.1588        | 20.0  | 2580 | 2.9085          | 0.9168          |
| 0.1588        | 21.0  | 2709 | 2.8516          | 0.9183          |
| 0.1588        | 22.0  | 2838 | 2.8932          | 0.9179          |
| 0.1588        | 23.0  | 2967 | 2.8514          | 0.9175          |
| 0.1154        | 24.0  | 3096 | 3.0075          | 0.9179          |
| 0.1154        | 25.0  | 3225 | 3.0090          | 0.9179          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2