my_awesome_model

Link hướng dẫn Colab: Sequence_Classification

Link demo: https://textclassificationpy-5nr3pbrn2j4twcczjdvb89.streamlit.app/

Link github demo : https://github.com/kidovnoz/streamlittest/blob/main/text_classification.py

This model is a fine-tuned version of distilbert-base-uncased on an IMDB dataset. It achieves the following results on the evaluation set:

• Loss: 0.2355
• Accuracy: 0.9311
• F1: 0.9315
• Precision: 0.9263
• Recall: 0.9368

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.2241	1.0	1563	0.1977	0.9258	0.9238	0.9490	0.8999
0.1459	2.0	3126	0.2355	0.9311	0.9315	0.9263	0.9368

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1