---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilroberta-base
model-index:
- name: distilroberta-base-movie-genre-prediction
  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. -->

# distilroberta-base-movie-genre-prediction

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0597
- Accuracy: 0.3557

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.7392        | 1.0   | 1350  | 1.7042          | 0.4017   |
| 1.6085        | 2.0   | 2700  | 1.6785          | 0.4018   |
| 1.5216        | 3.0   | 4050  | 1.7163          | 0.3945   |
| 1.4188        | 4.0   | 5400  | 1.7409          | 0.3951   |
| 1.3398        | 5.0   | 6750  | 1.7966          | 0.3858   |
| 1.2612        | 6.0   | 8100  | 1.8642          | 0.3801   |
| 1.1563        | 7.0   | 9450  | 1.9256          | 0.3670   |
| 1.1113        | 8.0   | 10800 | 1.9928          | 0.3607   |
| 1.0813        | 9.0   | 12150 | 2.0328          | 0.355    |
| 1.0329        | 10.0  | 13500 | 2.0597          | 0.3557   |


### Framework versions

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