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---
license: mit
tags:
- generated_from_keras_callback
base_model: roberta-base
model-index:
- name: roberta-blm-tweets
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. -->
# roberta-blm-tweets
This model is a fine-tuned version of [roberta-base](https://huggingface.co./roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3333
- Train Accuracy: 0.8964
- Validation Loss: 1.5482
- Validation Accuracy: 0.6106
- Epoch: 7
## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.4279 | 0.4908 | 1.3684 | 0.5442 | 0 |
| 1.1474 | 0.6375 | 1.2189 | 0.5796 | 1 |
| 0.9645 | 0.7016 | 1.1257 | 0.6106 | 2 |
| 0.7404 | 0.7534 | 1.2809 | 0.6239 | 3 |
| 0.6608 | 0.7965 | 1.4192 | 0.5973 | 4 |
| 0.5460 | 0.8187 | 1.3828 | 0.5354 | 5 |
| 0.4058 | 0.8668 | 1.5394 | 0.5929 | 6 |
| 0.3333 | 0.8964 | 1.5482 | 0.6106 | 7 |
### Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Tokenizers 0.13.2
|