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library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: superhero-distilbert-predictor
results: []
datasets:
- rlogh/superhero-texts
---
# superhero-distilbert-predictor
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the superhero-texts dataset.
This model maps brief descriptions of popular superheroes to their respective comic book universes.
It achieves the following results on the evaluation set:
- Loss: 0.0161
- Accuracy: 1.0
- F1: 1.0
- Precision: 1.0
- Recall: 1.0
## Intended uses & limitations
This model is strictly intended for educational use. Do not use this model to draw real world conclusions.
## Training and evaluation data
This model was trained on an augmented set of 1100 synthetically generated superhero descriptions and their respective universe label.
This model was validated against a set of 100 original, human curated descriptions.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.4148 | 1.0 | 88 | 0.2780 | 0.9489 | 0.9299 | 0.9127 | 0.9489 |
| 0.0861 | 2.0 | 176 | 0.0616 | 0.9830 | 0.9771 | 0.9721 | 0.9830 |
| 0.0227 | 3.0 | 264 | 0.0174 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0118 | 4.0 | 352 | 0.0099 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0074 | 5.0 | 440 | 0.0088 | 1.0 | 1.0 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0 |