distilbert-clinical-ner

ribhu/distilbert-clinical-ner

distilbert-clinical-ner is a token classification model from ribhu. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

9% of all-time downloads

All-time downloads

Public

Parameters

66.4M

2.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors265 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Oct 30, 2024
Updated: Oct 30, 2024
SHA: 8a2aeeb2

Try a prompt

Base models

Model card

From the Hugging Face model README

distilbert-clinical-ner

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

Loss: 0.3672

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	36	0.2829
No log	2.0	72	0.2953
No log	3.0	108	0.3107
No log	4.0	144	0.3310
No log	5.0	180	0.3451
No log	6.0	216	0.3449
No log	7.0	252	0.3620
No log	8.0	288	0.3668
No log	9.0	324	0.3661
No log	10.0	360	0.3672

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 30, 2024
Updated: Oct 30, 2024