lora_fine_tuned_copa

lenatr99/lora_fine_tuned_copa

lora_fine_tuned_copa is a machine learning model from lenatr99. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: c18f86a0

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

lora_fine_tuned_copa

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: 0.6918
Accuracy: 0.46
F1: 0.4570

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
0.7088	1.0	50	0.6921	0.48	0.48
0.7024	2.0	100	0.6922	0.49	0.4894
0.6993	3.0	150	0.6921	0.46	0.4587
0.7005	4.0	200	0.6920	0.48	0.4788
0.6989	5.0	250	0.6919	0.47	0.4679
0.7018	6.0	300	0.6919	0.46	0.4570
0.6943	7.0	350	0.6919	0.46	0.4570
0.6943	8.0	400	0.6918	0.46	0.4570

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1

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