---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: tw-sentiment-finetuned
  results: []
metrics:
- accuracy
---

<!-- 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. -->

# tw-sentiment-finetuned

This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2039
- Train Accuracy: 0.9171
- Validation Loss: 0.4805
- Validation Accuracy: 0.8237
- 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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.4620     | 0.7977         | 0.3893          | 0.8332              | 0     |
| 0.3238     | 0.8596         | 0.4674          | 0.8362              | 1     |
| 0.2039     | 0.9171         | 0.4805          | 0.8237              | 2     |


### Framework versions

- Transformers 4.26.0
- TensorFlow 2.9.2
- Tokenizers 0.13.2