intent-classifyV2 – AI Model by Onebu | AlphaNeural AI

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Onebu/
intent-classifyV2

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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intent-classifyV2

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

Loss: 0.0041
Accuracy: 0.9961
Precision: 0.9961
Recall: 0.9961
F1: 0.9961

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	64	0.0093	1.0	1.0	1.0	1.0
No log	2.0	128	0.0057	0.9961	0.9961	0.9961	0.9961
No log	3.0	192	0.0066	0.9961	0.9961	0.9961	0.9961
No log	4.0	256	0.0041	0.9961	0.9961	0.9961	0.9961

Framework versions

Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.15.0
Tokenizers 0.15.2