---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: binary-stock-classifier
  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. -->

# binary-stock-classifier

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1577
- Accuracy: 0.95

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 90   | 0.0497          | 1.0      |
| No log        | 2.0   | 180  | 0.0138          | 1.0      |
| No log        | 3.0   | 270  | 0.4034          | 0.9      |
| No log        | 4.0   | 360  | 0.2492          | 0.95     |
| No log        | 5.0   | 450  | 0.1985          | 0.95     |
| 0.1536        | 6.0   | 540  | 0.0427          | 0.95     |
| 0.1536        | 7.0   | 630  | 0.2490          | 0.95     |
| 0.1536        | 8.0   | 720  | 0.1568          | 0.95     |
| 0.1536        | 9.0   | 810  | 0.1577          | 0.95     |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2