---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: pull_request_comments_model
  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. -->

# pull_request_comments_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0791
- Train Accuracy: 0.9955
- Validation Loss: 0.5019
- Validation Accuracy: 0.8291
- Epoch: 12

## 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': 280, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.3102     | 0.4308         | 1.1851          | 0.4701              | 0     |
| 1.1436     | 0.4978         | 0.9891          | 0.6068              | 1     |
| 0.9590     | 0.6183         | 0.8287          | 0.6838              | 2     |
| 0.7801     | 0.6942         | 0.6916          | 0.7692              | 3     |
| 0.6074     | 0.7946         | 0.6212          | 0.8120              | 4     |
| 0.4755     | 0.8817         | 0.5471          | 0.8205              | 5     |
| 0.3503     | 0.9241         | 0.5244          | 0.8376              | 6     |
| 0.2594     | 0.9665         | 0.5171          | 0.8120              | 7     |
| 0.1711     | 0.9844         | 0.4832          | 0.8291              | 8     |
| 0.1474     | 0.9911         | 0.5000          | 0.8205              | 9     |
| 0.1082     | 0.9955         | 0.4875          | 0.8291              | 10    |
| 0.0981     | 0.9933         | 0.4928          | 0.8291              | 11    |
| 0.0791     | 0.9955         | 0.5019          | 0.8291              | 12    |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.9.0
- Datasets 2.10.1
- Tokenizers 0.13.2