helper2 – AI Model by raima2001 | AlphaNeural AI

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raima2001/
helper2

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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helper2

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

Loss: 0.0025
Acc: 0.9997
Precision: 1.0
Recall: 0.9994
F1 score: 0.9997
Auc: 0.9997

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 0.5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Acc	Precision	Recall	F1 score	Auc
0.0041	0.49	500	0.0025	0.9997	1.0	0.9994	0.9997	0.9997

Framework versions

Transformers 4.27.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2