---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: textclassifier
  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. -->

# textclassifier

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6439
- Accuracy: 0.0

## 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: 0.0002
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.4693        | 1.0   | 33   | 4.4433          | 0.0      |
| 4.4849        | 2.0   | 66   | 4.5026          | 0.0      |
| 4.4433        | 3.0   | 99   | 4.5717          | 0.0      |
| 4.4234        | 4.0   | 132  | 4.5887          | 0.0      |
| 4.4015        | 5.0   | 165  | 4.6163          | 0.0      |
| 4.3956        | 6.0   | 198  | 4.6046          | 0.0      |
| 4.3878        | 7.0   | 231  | 4.6354          | 0.0      |
| 4.3759        | 8.0   | 264  | 4.6372          | 0.0      |
| 4.3787        | 9.0   | 297  | 4.6405          | 0.0      |
| 4.3678        | 10.0  | 330  | 4.6439          | 0.0      |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2