NLPGroupProject-Finetune-bio-mobilebert-AL-Promt

This model is a fine-tuned version of nlpie/bio-mobilebert on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0324
• Accuracy: 0.742

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.3121	250	0.8727	0.727
35.354	0.6242	500	0.7830	0.738
35.354	0.9363	750	0.7660	0.745
0.8233	1.2484	1000	0.9794	0.744
0.8233	1.5605	1250	0.8635	0.746
0.7285	1.8727	1500	0.6671	0.747
0.7285	2.1848	1750	1.0348	0.758
0.5734	2.4969	2000	1.0761	0.747
0.5734	2.8090	2250	1.0324	0.742

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.2+cu118
• Datasets 2.19.0
• Tokenizers 0.19.1