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KasuleTrevor/
all_mini_lm_text_classifier_330h

Name: all_mini_lm_text_classifier_330h
Availability: InStock

generated_from_trainer

KasuleTrevor/all-MiniLM-L6-v2_intents

finetune

autotrain_compatible

endpoints_compatible

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all_mini_lm_text_classifier_330h

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: 0.2633
Accuracy: 0.943
Precision: 0.946
Recall: 0.943
F1: 0.943

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
2.7003	1.0	263	1.8368	0.642	0.633	0.642	0.582
1.3435	2.0	526	0.6806	0.8	0.848	0.8	0.754
0.5577	3.0	789	0.2745	0.94	0.928	0.94	0.931
0.2935	4.0	1052	0.2084	0.944	0.932	0.944	0.936
0.2122	5.0	1315	0.1717	0.97	0.971	0.97	0.97
0.1596	6.0	1578	0.1608	0.967	0.968	0.967	0.967
0.1394	7.0	1841	0.1911	0.967	0.968	0.967	0.967
0.107	8.0	2104	0.1624	0.968	0.969	0.968	0.968
0.0952	9.0	2367	0.1836	0.965	0.966	0.965	0.965
0.08	10.0	2630	0.1889	0.965	0.967	0.965	0.965
0.0724	11.0	2893	0.2068	0.955	0.957	0.955	0.955
0.0643	12.0	3156	0.2027	0.961	0.962	0.961	0.961
0.0553	13.0	3419	0.2172	0.961	0.962	0.961	0.961
0.0474	14.0	3682	0.2170	0.961	0.962	0.961	0.961
0.038	15.0	3945	0.2225	0.959	0.961	0.959	0.959
0.0303	16.0	4208	0.2427	0.95	0.952	0.95	0.95
0.0254	17.0	4471	0.2529	0.946	0.948	0.946	0.946
0.0228	18.0	4734	0.2571	0.946	0.949	0.946	0.946
0.02	19.0	4997	0.2627	0.943	0.946	0.943	0.943
0.019	20.0	5260	0.2633	0.943	0.946	0.943	0.943

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

KasuleTrevor/all_mini_lm_text_classifier_330h

all_mini_lm_text_classifier_330h

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

KasuleTrevor/
all_mini_lm_text_classifier_330h