---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: movie-genre-predictions
  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. -->

# movie-genre-predictions

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6269
- Accuracy: 0.4435

## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 67
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 290  | 1.6650          | 0.4176   |
| 1.7904        | 2.0   | 580  | 1.6128          | 0.4340   |
| 1.7904        | 3.0   | 870  | 1.5912          | 0.4438   |
| 1.5099        | 4.0   | 1160 | 1.6025          | 0.4418   |
| 1.5099        | 5.0   | 1450 | 1.6094          | 0.4469   |
| 1.3965        | 6.0   | 1740 | 1.6154          | 0.4447   |
| 1.3179        | 7.0   | 2030 | 1.6240          | 0.4430   |
| 1.3179        | 8.0   | 2320 | 1.6269          | 0.4435   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3