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# my-awesome-bert-model-sentiment-analysis

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: 0.0733
- Train Accuracy: 0.9697
- Validation Loss: 0.1888
- Validation Accuracy: 0.9443
- 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.6042     | 0.7451         | 0.3504          | 0.8689              | 0     |
| 0.2387     | 0.9104         | 0.2092          | 0.9253              | 1     |
| 0.1230     | 0.9524         | 0.2296          | 0.9288              | 2     |
| 0.0892     | 0.9633         | 0.2171          | 0.9347              | 3     |
| 0.0733     | 0.9697         | 0.1888          | 0.9443              | 4     |


### Framework versions

- Transformers 4.35.0
- TensorFlow 2.14.0
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-uncased", "model-index": [{"name": "my-awesome-bert-model-sentiment-analysis", "results": []}]}
transformers tf bert text-classification generated_from_keras_callback base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us