emotion-bert-large-uncased-lora

leonvanbokhorst/emotion-bert-large-uncased-lora

emotion-bert-large-uncased-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 apache-2.0.

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

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 9, 2024
Updated: May 9, 2024
SHA: 0c66b7a4

Base models

google-bert/bert-large-uncased

Datasets

emotion

Model card

From the Hugging Face model README

emotion-bert-large-uncased-lora

This model is a fine-tuned version of google-bert/bert-large-uncased on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.1651
Accuracy: 0.9315

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
No log	1.0	250	0.4509	0.848
0.6387	2.0	500	0.2250	0.9225
0.6387	3.0	750	0.1771	0.9215
0.1705	4.0	1000	0.1651	0.9315

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: May 9, 2024
Updated: May 9, 2024