---
license: apache-2.0
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Task1a
  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. -->

# Task1a

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8168
- Accuracy: 0.8286

## 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: 5e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 18   | 0.7392          | 0.3714   |
| No log        | 2.0   | 36   | 0.5119          | 0.8      |
| No log        | 3.0   | 54   | 0.5153          | 0.8      |
| No log        | 4.0   | 72   | 0.6688          | 0.7714   |
| No log        | 5.0   | 90   | 0.5781          | 0.8286   |
| No log        | 6.0   | 108  | 0.7906          | 0.8286   |
| No log        | 7.0   | 126  | 0.8076          | 0.8286   |
| No log        | 8.0   | 144  | 0.8083          | 0.8286   |
| No log        | 9.0   | 162  | 0.8150          | 0.8286   |
| No log        | 10.0  | 180  | 0.8168          | 0.8286   |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3