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

# aift-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: 2.1529
- Accuracy Thresh: 0.9374

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|
| 1.7187        | 1.0   | 845  | 0.8176          | 0.8261          |
| 0.7417        | 2.0   | 1690 | 0.7961          | 0.8918          |
| 0.5647        | 3.0   | 2535 | 0.9633          | 0.9031          |
| 0.441         | 4.0   | 3380 | 1.1189          | 0.9162          |
| 0.3397        | 5.0   | 4225 | 1.4119          | 0.9260          |
| 0.2637        | 6.0   | 5070 | 1.8281          | 0.9270          |
| 0.2387        | 7.0   | 5915 | 1.8851          | 0.9309          |
| 0.1711        | 8.0   | 6760 | 1.8036          | 0.9349          |
| 0.1723        | 9.0   | 7605 | 2.1980          | 0.9373          |
| 0.1573        | 10.0  | 8450 | 2.1529          | 0.9374          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0