---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: movie-genre-prediction_distilbert-base-uncased_full
  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_full

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: 3.2567
- Accuracy: 0.0742

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 232  | 3.0253          | 0.0715   |
| No log        | 2.0   | 464  | 2.9975          | 0.0767   |
| 1.641         | 3.0   | 696  | 3.2188          | 0.0735   |
| 1.641         | 4.0   | 928  | 3.1909          | 0.0776   |
| 1.4085        | 5.0   | 1160 | 3.2567          | 0.0742   |


### Framework versions

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