---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: knowledge-graph-nlp
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# knowledge-graph-nlp

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [vishnun/NLP-KnowledgeGraph](https://huggingface.co/datasets/vishnun/NLP-KnowledgeGraph) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1765
- Precision: 0.9013
- Recall: 0.8807
- F1: 0.8909
- Accuracy: 0.9487

## 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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2841        | 1.0   | 2316 | 0.2421          | 0.8382    | 0.8124 | 0.8251 | 0.9189   |
| 0.1925        | 2.0   | 4632 | 0.1946          | 0.8752    | 0.8567 | 0.8658 | 0.9373   |
| 0.1539        | 3.0   | 6948 | 0.1815          | 0.8912    | 0.8735 | 0.8822 | 0.9449   |
| 0.1285        | 4.0   | 9264 | 0.1765          | 0.9013    | 0.8807 | 0.8909 | 0.9487   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2