---
license: apache-2.0
base_model: bert-base-uncased
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-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9264
- Accuracy: 0.3289

## 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: 16
- eval_batch_size: 16
- seed: 67
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.1244        | 1.0   | 2318  | 2.0165          | 0.2812   |
| 1.8772        | 2.0   | 4636  | 1.8726          | 0.3393   |
| 1.7305        | 3.0   | 6954  | 1.8347          | 0.3589   |
| 1.5873        | 4.0   | 9272  | 1.8587          | 0.3631   |
| 1.4615        | 5.0   | 11590 | 1.9537          | 0.3588   |
| 1.2914        | 6.0   | 13908 | 2.0050          | 0.3620   |
| 1.15          | 7.0   | 16226 | 2.1050          | 0.3467   |
| 1.0332        | 8.0   | 18544 | 2.2455          | 0.3490   |
| 0.9257        | 9.0   | 20862 | 2.3592          | 0.3357   |
| 0.8086        | 10.0  | 23180 | 2.4679          | 0.3343   |
| 0.7231        | 11.0  | 25498 | 2.5798          | 0.3362   |
| 0.6471        | 12.0  | 27816 | 2.6849          | 0.3335   |
| 0.5839        | 13.0  | 30134 | 2.7941          | 0.3256   |
| 0.5238        | 14.0  | 32452 | 2.8416          | 0.3256   |
| 0.4804        | 15.0  | 34770 | 2.9133          | 0.3297   |
| 0.4346        | 16.0  | 37088 | 2.9264          | 0.3289   |


### Framework versions

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