---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: movie-genre-prediction_distilbert-base-uncased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# movie-genre-prediction_distilbert-base-uncased

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: 1.5869
- Accuracy: 0.4489

## 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: 200
- eval_batch_size: 200
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 163  | 1.6259          | 0.4358   |
| No log        | 2.0   | 326  | 1.5705          | 0.4478   |
| No log        | 3.0   | 489  | 1.5566          | 0.4527   |
| 1.6342        | 4.0   | 652  | 1.5656          | 0.4537   |
| 1.6342        | 5.0   | 815  | 1.5721          | 0.4504   |
| 1.6342        | 6.0   | 978  | 1.5825          | 0.4491   |
| 1.3404        | 7.0   | 1141 | 1.5869          | 0.4489   |


### Framework versions

- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3