distilbert-base-cased-finetuned-pos

eeeureka/distilbert-base-cased-finetuned-pos

distilbert-base-cased-finetuned-pos is a token classification model from eeeureka. 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

7% of all-time downloads

All-time downloads

Public

Parameters

66.4M

3.2 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors266 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Nov 8, 2023
Updated: Nov 8, 2023
SHA: 303bcf78

Try a prompt

Base models

Model card

From the Hugging Face model README

distilbert-base-cased-finetuned-pos

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

Loss: 0.2156

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: 16
eval_batch_size: 16
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
0.4351	1.0	1992	0.3079
0.2645	2.0	3984	0.2326
0.2082	3.0	5976	0.2156

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Nov 8, 2023
Updated: Nov 8, 2023