sciBERT-case-finetuned-breastcancer

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0058

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	53	0.0126
No log	2.0	106	0.0097
No log	3.0	159	0.0113
No log	4.0	212	0.0094
No log	5.0	265	0.0080
No log	6.0	318	0.0091
No log	7.0	371	0.0078
No log	8.0	424	0.0087
No log	9.0	477	0.0077
0.0037	10.0	530	0.0074
0.0037	11.0	583	0.0072
0.0037	12.0	636	0.0066
0.0037	13.0	689	0.0069
0.0037	14.0	742	0.0064
0.0037	15.0	795	0.0063
0.0037	16.0	848	0.0063
0.0037	17.0	901	0.0058
0.0037	18.0	954	0.0060
0.0011	19.0	1007	0.0059
0.0011	20.0	1060	0.0058

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1