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---
tags:
- generated_from_keras_callback
base_model: Seethal/sentiment_analysis_generic_dataset
model-index:
- name: fassahat/Seethal-sentiment-analysis-generic-dataset-finetuned-150k-patent-sentences
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. -->
# fassahat/Seethal-sentiment-analysis-generic-dataset-finetuned-150k-patent-sentences
This model is a fine-tuned version of [Seethal/sentiment_analysis_generic_dataset](https://huggingface.co/Seethal/sentiment_analysis_generic_dataset) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3141
- Validation Loss: 0.4426
- Train Accuracy: 0.8356
- 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 22500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.5186 | 0.4563 | 0.8225 | 0 |
| 0.3911 | 0.4298 | 0.8339 | 1 |
| 0.3141 | 0.4426 | 0.8356 | 2 |
### Framework versions
- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1
|