metadata

license: mit
base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
tags:
  - generated_from_trainer
model-index:
  - name: bhr_descriptions_trained_BiomedBERT
    results: []

bhr_descriptions_trained_BiomedBERT

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1232

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	31	2.3015
No log	2.0	62	2.1430
No log	3.0	93	2.0668

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0