investopedia_finbert

deadlyhacker/investopedia_finbert

investopedia_finbert is a fill-mask model from deadlyhacker. Use it when you need the model to fill a missing word. It is set up for transformers.

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

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Repo size

7.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h55.3 GB · 100%

At a glance

Task: Fill-Mask
Library: transformers
Model type: bert
Access: Public
Created: May 13, 2023
Updated: May 15, 2023
SHA: 7c607b05

Try a prompt

Model card

From the Hugging Face model README

deadlyhacker/investopedia_finbert

This model is a fine-tuned version of ProsusAI/finbert on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 1.2476
Train Accuracy: 0.1092
Validation Loss: 1.2565
Validation Accuracy: 0.1097
Epoch: 10

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.5600	0.0855	1.7046	0.1015	0
1.7150	0.1006	1.5251	0.1041	1
1.5635	0.1032	1.4501	0.1053	2
1.4843	0.1046	1.3938	0.1064	3
1.4215	0.1058	1.3624	0.1075	4
1.3870	0.1062	1.3373	0.1077	5
1.3483	0.1071	1.3053	0.1082	6
1.3187	0.1079	1.3033	0.1090	7
1.2964	0.1083	1.2965	0.1081	8
1.2720	0.1088	1.2652	0.1088	9
1.2476	0.1092	1.2565	0.1097	10

Framework versions

Transformers 4.29.1
TensorFlow 2.10.1
Datasets 2.12.0
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: bert
Created: May 13, 2023
Updated: May 15, 2023