emotion-gpt2-lora

leonvanbokhorst/emotion-gpt2-lora

emotion-gpt2-lora is a machine learning model from leonvanbokhorst. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: May 4, 2024
Updated: May 11, 2024
SHA: 0ad583e2

Base models

openai-community/gpt2

Datasets

emotion

Model card

From the Hugging Face model README

emotion-gpt2-lora

This model is a fine-tuned version of openai-community/gpt2 on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.1521
Accuracy: 0.933
F1: 0.9334
Precision: 0.9347
Recall: 0.933

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: 0.0005
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	250	0.3191	0.8895	0.8902	0.8933	0.8895
0.6939	2.0	500	0.1939	0.935	0.9349	0.9352	0.935
0.6939	3.0	750	0.1689	0.931	0.9315	0.9329	0.931
0.1897	4.0	1000	0.1521	0.933	0.9334	0.9347	0.933

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 4, 2024
Updated: May 11, 2024