curated-climate-weighted

alex-miller/curated-climate-weighted

curated-climate-weighted is a machine learning model from alex-miller. 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: bert
Access: Public
Created: Aug 9, 2024
Updated: Aug 13, 2024
SHA: 29650b42

Base models

alex-miller/ODABert

Model card

From the Hugging Face model README

curated-climate-weighted

This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7523
Accuracy: 0.7955
F1: 0.6836
Precision: 0.6567
Recall: 0.7128

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: 24
eval_batch_size: 24
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	Validation Loss	Accuracy	F1	Precision	Recall
0.7455	1.0	442	0.6729	0.7652	0.6691	0.5939	0.7660
0.6154	2.0	884	0.6549	0.7797	0.6821	0.6169	0.7627
0.5115	3.0	1326	0.6729	0.7926	0.6879	0.6445	0.7375
0.4169	4.0	1768	0.7200	0.7932	0.6835	0.6499	0.7207
0.3479	5.0	2210	0.7523	0.7955	0.6836	0.6567	0.7128

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 9, 2024
Updated: Aug 13, 2024