results – AI Model by AfterRain007 | AlphaNeural AI

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text-classification

generated_from_trainer

ElKulako/cryptobert

autotrain_compatible

endpoints_compatible

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results

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

Loss: 0.8983
Accuracy: 0.6433
Precision: 0.6614
Recall: 0.6433
F1: 0.6461

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: 3.5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 69420
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.9586	0.19	100	0.8746	0.6033	0.5990	0.6033	0.5944
0.7362	0.38	200	0.8187	0.63	0.6322	0.63	0.6232
0.577	0.57	300	0.8065	0.6767	0.6821	0.6767	0.6761
0.4632	0.76	400	0.8437	0.63	0.6411	0.63	0.6321
0.3243	0.95	500	0.8983	0.6433	0.6614	0.6433	0.6461
0.2257	1.14	600	1.3704	0.6033	0.6863	0.6033	0.6046
0.1333	1.33	700	1.2951	0.6033	0.6201	0.6033	0.6052
0.0574	1.52	800	1.5119	0.6333	0.6331	0.6333	0.6309

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Tokenizers 0.15.0