voiceassistant-intent-distilbert-clinc150 – AI Model by yuashi | AlphaNeural AI

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yuashi/
voiceassistant-intent-distilbert-clinc150

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text-classification

generated_from_trainer

clinc/clinc_oos

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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voiceassistant-intent-distilbert-clinc150

This model is a fine-tuned version of distilbert-base-uncased on clinc_oos dataset. It achieves the following results on the evaluation set:

Loss: 0.5123
Accuracy: 0.8818
F1 Macro: 0.9090

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: 3e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
No log	1.0	477	1.8080	0.8313	0.8251
3.4255	2.0	954	0.5902	0.9229	0.9266
0.9815	3.0	1431	0.3297	0.9381	0.9423
0.3066	4.0	1908	0.2674	0.9442	0.9479
0.1389	5.0	2385	0.2574	0.9445	0.9482

Framework versions

Transformers 4.44.2
Pytorch 2.13.0+cu126
Datasets 2.21.0
Tokenizers 0.19.1