---
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: 0.1712
- Accuracy Thresh: 0.9398

## 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
- distributed_type: tpu
- 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 Thresh |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|
| No log        | 1.0   | 70   | 0.1784          | 0.9347          |
| No log        | 2.0   | 140  | 0.1673          | 0.9398          |
| No log        | 3.0   | 210  | 0.1723          | 0.9367          |
| No log        | 4.0   | 280  | 0.1647          | 0.9408          |
| No log        | 5.0   | 350  | 0.1679          | 0.9378          |
| No log        | 6.0   | 420  | 0.1686          | 0.9388          |
| No log        | 7.0   | 490  | 0.1676          | 0.9439          |
| 0.0662        | 8.0   | 560  | 0.1727          | 0.9398          |
| 0.0662        | 9.0   | 630  | 0.1715          | 0.9398          |
| 0.0662        | 10.0  | 700  | 0.1712          | 0.9398          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0