---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: disilbert-blm-tweets-binary
  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. -->

# disilbert-blm-tweets-binary

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1159
- Train Accuracy: 0.9556
- Validation Loss: 0.5772
- Validation Accuracy: 0.7965
- Epoch: 4

## 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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.5941     | 0.6905         | 0.5159          | 0.7168              | 0     |
| 0.4041     | 0.8212         | 0.4589          | 0.8142              | 1     |
| 0.2491     | 0.9026         | 0.6014          | 0.7876              | 2     |
| 0.1011     | 0.9692         | 0.7181          | 0.8053              | 3     |
| 0.1159     | 0.9556         | 0.5772          | 0.7965              | 4     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.2
- Tokenizers 0.13.2