---
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_keras_callback
model-index:
- name: ASTBERT-cb-5k-methods
  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. -->

# ASTBERT-cb-5k-methods

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0903
- Train Accuracy: 0.9806
- Epoch: 9

## 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': 1e-04, '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 | Epoch |
|:----------:|:--------------:|:-----:|
| 1.2016     | 0.8863         | 0     |
| 0.5520     | 0.9294         | 1     |
| 0.4975     | 0.9315         | 2     |
| 0.4456     | 0.9353         | 3     |
| 0.3840     | 0.9391         | 4     |
| 0.3186     | 0.9443         | 5     |
| 0.2513     | 0.9517         | 6     |
| 0.1874     | 0.9614         | 7     |
| 0.1312     | 0.9718         | 8     |
| 0.0903     | 0.9806         | 9     |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.10.0
- Datasets 2.18.0
- Tokenizers 0.13.3