---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: yt-title-grader
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# yt-title-grader

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the yt_main_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2751
- Accuracy: 0.8945

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2641        | 1.0   | 5725  | 0.2751          | 0.8945   |
| 0.2244        | 2.0   | 11450 | 0.2852          | 0.9021   |
| 0.1598        | 3.0   | 17175 | 0.3307          | 0.9007   |


### Framework versions

- Transformers 4.32.1
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3