Extra_binary – AI Model by ajrayman | AlphaNeural AI

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ajrayman/
Extra_binary

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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Extra_binary

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

Loss: 0.7007
Accuracy: 0.6550
Precision: 0.6286
Recall: 0.7556
F1: 0.6863
Auc: 0.7251

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: 1234
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc
No log	1.0	118	0.6435	0.6401	0.6186	0.7282	0.6690	0.6841
No log	2.0	236	0.7102	0.6002	0.5633	0.8878	0.6893	0.6960
No log	3.0	354	0.6645	0.6351	0.6071	0.7631	0.6762	0.7146
No log	4.0	472	0.7007	0.6550	0.6286	0.7556	0.6863	0.7251

Framework versions

Transformers 4.44.1
Pytorch 1.11.0
Datasets 2.12.0
Tokenizers 0.19.1