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---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_keras_callback
model-index:
- name: ukzash1/bert_fineTuned
results:
- task:
type: sequence-classification
dataset:
name: glue
type: cola
metrics:
- name: Validation Accuracy
type: Accuracy
value: 0.8207
source:
name: Hugging Face Model Hub
url: https://huggingface.co/ukzash1/bert_fineTuned
widget:
- text: I liked this movie
output:
- label: Acceptable
score: 0.8
- label: Not Acceptable
score: 0.2
- text: This not is bad
output:
- label: Acceptable
score: 0.2
- label: Not Acceptable
score: 0.8
library_name: transformers
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
---
<!-- 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. -->
# ukzash1/bert_fineTuned
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3426
- Train Accuracy: 0.8555
- Validation Loss: 0.4083
- Validation Accuracy: 0.8198
- Epoch: 1
## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.5409 | 0.7317 | 0.5398 | 0.7756 | 0 |
| 0.3426 | 0.8555 | 0.4083 | 0.8198 | 1 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.13.0
- Datasets 2.20.0
- Tokenizers 0.15.2 |