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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: movie-genre-prediction_distilbert-base-uncased
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-prediction_distilbert-base-uncased
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: 1.5869
- Accuracy: 0.4489
## 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 163 | 1.6259 | 0.4358 |
| No log | 2.0 | 326 | 1.5705 | 0.4478 |
| No log | 3.0 | 489 | 1.5566 | 0.4527 |
| 1.6342 | 4.0 | 652 | 1.5656 | 0.4537 |
| 1.6342 | 5.0 | 815 | 1.5721 | 0.4504 |
| 1.6342 | 6.0 | 978 | 1.5825 | 0.4491 |
| 1.3404 | 7.0 | 1141 | 1.5869 | 0.4489 |
### Framework versions
- Transformers 4.24.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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