patient-doctor-text-classifier-multilingual-old – AI Model by LukeGPT88 | AlphaNeural AI

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LukeGPT88/
patient-doctor-text-classifier-multilingual-old

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text-classification

generated_from_trainer

lxyuan/distilbert-base-multilingual-cased-sentiments-student

autotrain_compatible

endpoints_compatible

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distilbert-base-cased-finetuned-patient-doctor-text-classifier-eng-multilingual

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0988
Accuracy: 0.9851

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: 2e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1049	1.0	1547	0.0713	0.9819
0.0442	2.0	3094	0.0751	0.9833
0.0307	3.0	4641	0.0699	0.9856
0.0231	4.0	6188	0.0889	0.9844
0.0188	5.0	7735	0.0898	0.9852
0.0169	6.0	9282	0.0974	0.9831
0.0138	7.0	10829	0.0954	0.9852
0.0124	8.0	12376	0.0986	0.9845
0.0108	9.0	13923	0.0959	0.9846
0.0095	10.0	15470	0.0988	0.9851

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2