---
base_model: distilbert/distilbert-base-uncased
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: baseline_model
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# baseline_model

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.3537
- Validation Loss: 1.1238
- Train Precision: 0.4228
- Train Recall: 0.4093
- Train F1: 0.4160
- Train Accuracy: 0.7712
- Epoch: 2

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 216, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 2.8910     | 1.8205          | 0.4147          | 0.0451       | 0.0813   | 0.6325         | 0     |
| 1.6360     | 1.3609          | 0.3788          | 0.3566       | 0.3673   | 0.7525         | 1     |
| 1.3537     | 1.1238          | 0.4228          | 0.4093       | 0.4160   | 0.7712         | 2     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.16.1
- Datasets 2.20.0
- Tokenizers 0.19.1