Distilbert Base Uncased Finetuned Devops1 Ner

🚀 distilbert-base-uncased-finetuned-devops1-ner

This model is a fine - tuned version of distilbert-base-uncased, aiming to achieve better performance in specific tasks.

🚀 Quick Start

This model is a fine - tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9870
• Precision: 0.0572
• Recall: 0.2689
• F1: 0.0944
• Accuracy: 0.7842

📚 Documentation

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: 3e - 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: 3

Training results

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 1.18.4
• Tokenizers 0.11.6

📄 License

This model is licensed under the Apache - 2.0 license.

🏷️ Tags

• generated_from_trainer

📊 Metrics

• precision
• recall
• f1
• accuracy

📋 Model Index

• name: distilbert-base-uncased-finetuned-devops1-ner results: []