loha_fine_tuned_boolq

anzeo/loha_fine_tuned_boolq

loha_fine_tuned_boolq is a machine learning model from anzeo. 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. --

Downloads · 30 days

37% of all-time downloads

All-time downloads

Public

Repo size

4.8 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors4.7 MB · 83%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 45b37498

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

loha_fine_tuned_boolq

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

Loss: 0.5655
Accuracy: 0.7778
F1: 0.6806

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6686	4.1667	50	0.6058	0.7778	0.6806
0.661	8.3333	100	0.5835	0.7778	0.6806
0.66	12.5	150	0.5765	0.7778	0.6806
0.6685	16.6667	200	0.5708	0.7778	0.6806
0.6634	20.8333	250	0.5677	0.7778	0.6806
0.6573	25.0	300	0.5668	0.7778	0.6806
0.6623	29.1667	350	0.5661	0.7778	0.6806
0.6583	33.3333	400	0.5655	0.7778	0.6806

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.1
Pytorch 2.1.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024