lora_fine_tuned_cb

lenatr99/lora_fine_tuned_cb

lora_fine_tuned_cb 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: b2c677ad

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

lora_fine_tuned_cb

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: 1.4089
Accuracy: 0.3182
F1: 0.1536

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
0.9467	3.5714	50	1.1690	0.3182	0.1536
0.7755	7.1429	100	1.2983	0.3182	0.1536
0.7396	10.7143	150	1.3709	0.3182	0.1536
0.6894	14.2857	200	1.3939	0.3182	0.1536
0.7253	17.8571	250	1.4084	0.3182	0.1536
0.7187	21.4286	300	1.4133	0.3182	0.1536
0.6998	25.0	350	1.4096	0.3182	0.1536
0.7152	28.5714	400	1.4089	0.3182	0.1536

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