mental_health_model_rob

AlexanderHolmes0/mental_health_model_rob

mental_health_model_rob is a text classification model from AlexanderHolmes0. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Apr 25, 2024
Updated: Apr 25, 2024
SHA: 6b3d01d7

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Base models

FacebookAI/roberta-base

Model card

From the Hugging Face model README

mental_health_model_rob

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

Loss: 0.5858
Accuracy: 0.7585

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: 5

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	270	0.7201	0.6445
0.7167	2.0	540	0.7585	0.5858
0.7167	3.0	810	0.7726	0.6201
0.3475	4.0	1080	0.7829	0.6671
0.3475	5.0	1350	0.7226	0.7786

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Apr 25, 2024
Updated: Apr 25, 2024