---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: bert-base-uncased
model-index:
- name: Horovod_Tweet_Sentiment_1k_5eps
  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_5eps

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: 0.5216092
- Train Accuracy: 0.784375
- Validation Loss: 0.92405033
- Validation Accuracy: 0.4875
- 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', '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.7129049  | 0.50937504     | 0.7314203       | 0.490625            | 0     |
| 0.73165804 | 0.47343752     | 0.6929074       | 0.484375            | 1     |
| 0.6827939  | 0.55           | 0.6864271       | 0.50625             | 2     |
| 0.66076773 | 0.5578125      | 0.60817575      | 0.69687504          | 3     |
| 0.5216092  | 0.784375       | 0.92405033      | 0.4875              | 4     |


### Framework versions

- Transformers 4.17.0
- TensorFlow 2.6.0
- Tokenizers 0.11.6