all_mini_lm_text_classifier_331h_whisper

KasuleTrevor/all_mini_lm_text_classifier_331h_whisper

all_mini_lm_text_classifier_331h_whisper is a text classification model from KasuleTrevor. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jun 19, 2025
Updated: Jun 19, 2025
SHA: 8a2e2d7b

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Base models

KasuleTrevor/all-MiniLM-L6-v2_intents

Model card

From the Hugging Face model README

all_mini_lm_text_classifier_331h_whisper

This model is a fine-tuned version of KasuleTrevor/all-MiniLM-L6-v2_intents on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3747
Accuracy: 0.927
Precision: 0.932
Recall: 0.927
F1: 0.927

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
2.7544	1.0	232	1.9815	0.441	0.327	0.441	0.316
1.58	2.0	464	0.9619	0.693	0.72	0.693	0.631
0.8075	3.0	696	0.4160	0.914	0.904	0.914	0.906
0.4276	4.0	928	0.2829	0.935	0.925	0.935	0.928
0.2676	5.0	1160	0.2485	0.928	0.919	0.928	0.921
0.2006	6.0	1392	0.2550	0.941	0.945	0.941	0.942
0.1547	7.0	1624	0.2331	0.951	0.955	0.951	0.952
0.1236	8.0	1856	0.2301	0.953	0.955	0.953	0.953
0.0985	9.0	2088	0.2265	0.948	0.951	0.948	0.948
0.0789	10.0	2320	0.2813	0.941	0.944	0.941	0.942
0.0649	11.0	2552	0.2906	0.943	0.947	0.943	0.944
0.0536	12.0	2784	0.2782	0.948	0.951	0.948	0.948
0.0444	13.0	3016	0.3242	0.932	0.937	0.932	0.932
0.0394	14.0	3248	0.2991	0.937	0.94	0.937	0.937
0.0301	15.0	3480	0.3409	0.928	0.934	0.928	0.929
0.0247	16.0	3712	0.3552	0.93	0.935	0.93	0.93
0.0205	17.0	3944	0.3668	0.93	0.935	0.93	0.93
0.0162	18.0	4176	0.3730	0.927	0.932	0.927	0.927
0.0168	19.0	4408	0.3745	0.927	0.932	0.927	0.927
0.014	20.0	4640	0.3747	0.927	0.932	0.927	0.927

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: bert
Created: Jun 19, 2025
Updated: Jun 19, 2025