---
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: 3.1789
- Accuracy Thresh: 0.9161

## 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  | 2.3568          | 0.3224          |
| No log        | 2.0   | 258  | 1.6533          | 0.5518          |
| No log        | 3.0   | 387  | 1.3939          | 0.7174          |
| 2.7357        | 4.0   | 516  | 1.3937          | 0.7875          |
| 2.7357        | 5.0   | 645  | 1.3416          | 0.8023          |
| 2.7357        | 6.0   | 774  | 1.3744          | 0.8696          |
| 2.7357        | 7.0   | 903  | 1.4840          | 0.8753          |
| 0.727         | 8.0   | 1032 | 1.6799          | 0.8858          |
| 0.727         | 9.0   | 1161 | 1.6802          | 0.8830          |
| 0.727         | 10.0  | 1290 | 1.8544          | 0.8968          |
| 0.727         | 11.0  | 1419 | 1.8931          | 0.8971          |
| 0.4047        | 12.0  | 1548 | 2.1624          | 0.8978          |
| 0.4047        | 13.0  | 1677 | 2.3448          | 0.9042          |
| 0.4047        | 14.0  | 1806 | 2.4661          | 0.9087          |
| 0.4047        | 15.0  | 1935 | 2.5098          | 0.9087          |
| 0.2396        | 16.0  | 2064 | 2.7352          | 0.9130          |
| 0.2396        | 17.0  | 2193 | 2.7756          | 0.9123          |
| 0.2396        | 18.0  | 2322 | 2.9367          | 0.9151          |
| 0.2396        | 19.0  | 2451 | 2.9757          | 0.9140          |
| 0.1658        | 20.0  | 2580 | 2.9550          | 0.9140          |
| 0.1658        | 21.0  | 2709 | 3.0914          | 0.9161          |
| 0.1658        | 22.0  | 2838 | 3.1505          | 0.9158          |
| 0.1658        | 23.0  | 2967 | 3.0856          | 0.9147          |
| 0.1233        | 24.0  | 3096 | 3.1968          | 0.9175          |
| 0.1233        | 25.0  | 3225 | 3.1789          | 0.9161          |


### Framework versions

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