ff_analysis_4 – AI Model by zdreiosis | AlphaNeural AI

You can deploy this model and start earning money today!

zdreiosis/
ff_analysis_4

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

ff_analysis_4

This model is a fine-tuned version of zdreiosis/ff_analysis_4 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0022
F1: 1.0
Roc Auc: 1.0
Accuracy: 1.0

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: 32
eval_batch_size: 32
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	F1	Roc Auc	Accuracy
No log	1.47	50	0.0055	1.0	1.0	1.0
No log	2.94	100	0.0052	1.0	1.0	1.0
No log	4.41	150	0.0044	1.0	1.0	1.0
No log	5.88	200	0.0037	1.0	1.0	1.0
No log	7.35	250	0.0030	1.0	1.0	1.0
No log	8.82	300	0.0030	1.0	1.0	1.0
No log	10.29	350	0.0028	1.0	1.0	1.0
No log	11.76	400	0.0027	1.0	1.0	1.0
No log	13.24	450	0.0025	1.0	1.0	1.0
0.0078	14.71	500	0.0022	1.0	1.0	1.0
0.0078	16.18	550	0.0025	1.0	1.0	1.0
0.0078	17.65	600	0.0023	1.0	1.0	1.0
0.0078	19.12	650	0.0022	1.0	1.0	1.0
0.0078	20.59	700	0.0022	1.0	1.0	1.0
0.0078	22.06	750	0.0021	1.0	1.0	1.0
0.0078	23.53	800	0.0020	1.0	1.0	1.0
0.0078	25.0	850	0.0020	1.0	1.0	1.0
0.0078	26.47	900	0.0019	1.0	1.0	1.0
0.0078	27.94	950	0.0019	1.0	1.0	1.0
0.0025	29.41	1000	0.0019	1.0	1.0	1.0

Framework versions

Transformers 4.15.0
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.10.3