---
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: 1.7250
- Accuracy Thresh: 0.9324

## 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   | 407  | 1.1155          | 0.8054          |
| 2.1876        | 2.0   | 814  | 0.8882          | 0.8200          |
| 0.8836        | 3.0   | 1221 | 0.8841          | 0.8763          |
| 0.6407        | 4.0   | 1628 | 1.0921          | 0.9124          |
| 0.4595        | 5.0   | 2035 | 1.0602          | 0.9132          |
| 0.4595        | 6.0   | 2442 | 1.4590          | 0.9227          |
| 0.3532        | 7.0   | 2849 | 1.6123          | 0.9256          |
| 0.2784        | 8.0   | 3256 | 1.5713          | 0.9279          |
| 0.2401        | 9.0   | 3663 | 1.7793          | 0.9337          |
| 0.1886        | 10.0  | 4070 | 1.7250          | 0.9324          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0