FinBERT_PEFT

Zak-Soussi/FinBERT_PEFT

FinBERT_PEFT is a machine learning model from Zak-Soussi. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

Downloads · 30 days

Access

Public

Updated Jul 3, 2024

Repo size

15.2 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin14.4 MB · 94%

At a glance

Access: Public
Created: Jul 3, 2024
Updated: Jul 3, 2024
SHA: 005b1574

Model card

From the Hugging Face model README

FinBERT_PEFT

This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3864
F1: 0.8824

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: 0.0005
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.4927	1.0	54	1.2082	0.6094
0.909	2.0	108	1.1464	0.6529
0.8769	3.0	162	0.8971	0.6800
0.8455	4.0	216	0.7712	0.8095
0.7669	5.0	270	0.6915	0.8776
0.7396	6.0	324	0.6472	0.8776
0.7756	7.0	378	0.6238	0.8776
0.7261	8.0	432	0.5821	0.7569
0.691	9.0	486	0.6744	0.7233
0.6826	10.0	540	0.5255	0.8218
0.6531	11.0	594	0.7270	0.7233
0.6737	12.0	648	0.5285	0.8095
0.6163	13.0	702	0.6131	0.6078
0.6001	14.0	756	0.5240	0.8776
0.6464	15.0	810	0.3864	0.8824
0.5858	16.0	864	0.5041	0.8776
0.5787	17.0	918	0.5269	0.7233
0.5524	18.0	972	0.6487	0.7233
0.6014	19.0	1026	0.4913	0.7339
0.5631	20.0	1080	0.5969	0.7233
0.5369	21.0	1134	0.4510	0.8824
0.5475	22.0	1188	0.5592	0.6774

Framework versions

Transformers 4.30.2
Pytorch 1.13.1+cpu
Datasets 2.13.2
Tokenizers 0.13.3

Created: Jul 3, 2024
Updated: Jul 3, 2024