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---
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
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