---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Horovod_Tweet_Sentiment_1K_4eps
  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. -->

# Horovod_Tweet_Sentiment_1K_4eps

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.6803332
- Train Accuracy: 0.57187504
- Validation Loss: 0.6883397
- Validation Accuracy: 0.54375
- Epoch: 3

## 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', 'clipnorm': 1.0, 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.70931095 | 0.5078125      | 0.81717503      | 0.528125            | 0     |
| 0.77384466 | 0.5296875      | 0.68696874      | 0.51875             | 1     |
| 0.68944424 | 0.53125        | 0.6837756       | 0.53125             | 2     |
| 0.6803332  | 0.57187504     | 0.6883397       | 0.54375             | 3     |


### Framework versions

- Transformers 4.17.0
- TensorFlow 2.6.0
- Tokenizers 0.11.6