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

# dream_classifier

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: 1.3533
- Accuracy: 0.7321

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 17   | 0.5774          | 0.7321   |
| No log        | 2.0   | 34   | 0.5660          | 0.7321   |
| No log        | 3.0   | 51   | 0.5903          | 0.7321   |
| No log        | 4.0   | 68   | 0.5558          | 0.7321   |
| No log        | 5.0   | 85   | 0.5904          | 0.7411   |
| No log        | 6.0   | 102  | 0.6088          | 0.7321   |
| No log        | 7.0   | 119  | 0.7359          | 0.7589   |
| No log        | 8.0   | 136  | 0.9027          | 0.7589   |
| No log        | 9.0   | 153  | 1.0194          | 0.7411   |
| No log        | 10.0  | 170  | 1.1241          | 0.7589   |
| No log        | 11.0  | 187  | 1.1849          | 0.7411   |
| No log        | 12.0  | 204  | 1.2305          | 0.7411   |
| No log        | 13.0  | 221  | 1.2551          | 0.75     |
| No log        | 14.0  | 238  | 1.2859          | 0.7411   |
| No log        | 15.0  | 255  | 1.3070          | 0.7411   |
| No log        | 16.0  | 272  | 1.3238          | 0.7411   |
| No log        | 17.0  | 289  | 1.3357          | 0.7411   |
| No log        | 18.0  | 306  | 1.3449          | 0.7411   |
| No log        | 19.0  | 323  | 1.3513          | 0.7321   |
| No log        | 20.0  | 340  | 1.3533          | 0.7321   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3