token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch

qminh369/token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch

token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch is a token classification model from qminh369. 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

18% of all-time downloads

All-time downloads

Public

Parameters

177M

709 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors709 MB · 99%

At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Apr 3, 2024
Updated: Apr 3, 2024
SHA: 372b7442

Try a prompt

Base models

google-bert/bert-base-multilingual-cased

Model card

From the Hugging Face model README

token-classification-llmlingua2-m_bert-bctn-538_sample-5_epoch

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5062

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: 1e-05
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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	215	0.5775
No log	2.0	430	0.5483
0.6022	3.0	645	0.5264
0.6022	4.0	860	0.5335
0.4971	5.0	1075	0.5062

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 3, 2024
Updated: Apr 3, 2024