bert-LoRA-reminder

AlexMason00/bert-LoRA-reminder

bert-LoRA-reminder is a machine learning model from AlexMason00. 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 mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

56% of all-time downloads

All-time downloads

Public

Repo size

1.1 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors160 KB · 61%

At a glance

Library: peft
License: mit
Access: Public
Created: Apr 26, 2024
Updated: Apr 26, 2024
SHA: f436f532

Base models

dbmdz/bert-base-italian-uncased

Model card

From the Hugging Face model README

bert-LoRA-reminder

This model is a fine-tuned version of dbmdz/bert-base-italian-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2139
Accuracy: 0.9545

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: 5e-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
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6677	1.0	22	0.6283	0.7955
0.6524	2.0	44	0.6168	0.8409
0.6299	3.0	66	0.6096	0.8182
0.6258	4.0	88	0.5980	0.8636
0.6206	5.0	110	0.5849	0.8409
0.5685	6.0	132	0.5694	0.8636
0.5896	7.0	154	0.5528	0.8864
0.5636	8.0	176	0.5361	0.8636
0.5681	9.0	198	0.5217	0.8864
0.5575	10.0	220	0.4968	0.8864
0.5097	11.0	242	0.4776	0.9091
0.5001	12.0	264	0.4541	0.9091
0.4712	13.0	286	0.4269	0.9318
0.4462	14.0	308	0.4016	0.9318
0.4255	15.0	330	0.3778	0.9545
0.3943	16.0	352	0.3566	0.9545
0.3889	17.0	374	0.3358	0.9545
0.3845	18.0	396	0.3169	0.9545
0.3397	19.0	418	0.2987	0.9545
0.3677	20.0	440	0.2862	0.9545
0.3271	21.0	462	0.2729	0.9545
0.3495	22.0	484	0.2607	0.9545
0.3057	23.0	506	0.2495	0.9545
0.2621	24.0	528	0.2399	0.9545
0.2911	25.0	550	0.2314	0.9545
0.2685	26.0	572	0.2253	0.9545
0.248	27.0	594	0.2200	0.9545
0.2421	28.0	616	0.2164	0.9545
0.2688	29.0	638	0.2147	0.9545
0.2723	30.0	660	0.2139	0.9545

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Apr 26, 2024
Updated: Apr 26, 2024