bert-base-cased-finetuned-mental

rgao/bert-base-cased-finetuned-mental

bert-base-cased-finetuned-mental is a text classification model from rgao. Use it when you need a label for a piece of text. 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Apr 17, 2024
Updated: Apr 17, 2024
SHA: dd53cd86

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Base models

google-bert/bert-base-cased

Model card

From the Hugging Face model README

bert-base-cased-finetuned-mental

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

Loss: 0.2211
Accuracy: 0.9393

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.11	500	1.0197	0.6650
No log	0.23	1000	0.7751	0.7458
No log	0.34	1500	0.5813	0.8196
No log	0.45	2000	0.4729	0.8556
No log	0.57	2500	0.3735	0.8880
No log	0.68	3000	0.3233	0.9055
No log	0.79	3500	0.2648	0.9239
No log	0.91	4000	0.2211	0.9393

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 17, 2024
Updated: Apr 17, 2024