llava_Wesley

wesley23519/llava_Wesley

llava_Wesley is a machine learning model from wesley23519. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 17, 2024
Updated: Aug 17, 2024
SHA: ce0bcf78

Base models

Model card

From the Hugging Face model README

llava_Wesley

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0246
Matthews Correlation: 0.5176

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: 1.8366329833957503e-05
train_batch_size: 8
eval_batch_size: 16
seed: 7
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	Matthews Correlation
0.4829	1.0	1069	0.4610	0.4813
0.3502	2.0	2138	0.5828	0.5061
0.2644	3.0	3207	0.7307	0.5268
0.1711	4.0	4276	0.9384	0.5215
0.124	5.0	5345	1.0246	0.5176

Framework versions

Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Aug 17, 2024
Updated: Aug 17, 2024