metadata

library_name: transformers
base_model: allenai/biomed_roberta_base
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: BioMedRoBERTa-finetuned-ner-pablo-just-classifier
    results: []

BioMedRoBERTa-finetuned-ner-pablo-just-classifier

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

Loss: 0.1276
Precision: 0.6818
Recall: 0.7031
F1: 0.6923
Accuracy: 0.9672

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: 0.1
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.7191	1.0	2509	0.5248	0.5127	0.6334	0.5667	0.9486
0.5382	2.0	5018	0.4280	0.5378	0.6500	0.5886	0.9556
0.3968	3.0	7527	0.3095	0.4997	0.6714	0.5730	0.9531
0.2528	4.0	10036	0.1872	0.5631	0.6850	0.6181	0.9599
0.1541	5.0	12545	0.1276	0.6818	0.7031	0.6923	0.9672

Framework versions

Transformers 4.44.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1