bert-base-multilingual-uncased-hin-MICRO – AI Model by sercetexam9 | AlphaNeural AI

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sercetexam9/
bert-base-multilingual-uncased-hin-MICRO

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-uncased

autotrain_compatible

endpoints_compatible

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bert-base-multilingual-uncased-hin-MICRO

This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2864
F1: 0.7690
Roc Auc: 0.8690
Accuracy: 0.7053

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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.1586	1.0	574	0.1943	0.7398	0.8388	0.6971
0.0729	2.0	1148	0.1984	0.7539	0.8476	0.7121
0.0427	3.0	1722	0.2212	0.7685	0.8524	0.7326
0.0269	4.0	2296	0.2522	0.7598	0.8611	0.7080
0.014	5.0	2870	0.2864	0.7690	0.8690	0.7053
0.0133	6.0	3444	0.3065	0.7673	0.8757	0.6999
0.0066	7.0	4018	0.3189	0.7619	0.8499	0.7149
0.007	8.0	4592	0.3584	0.7384	0.8529	0.6794
0.0031	9.0	5166	0.3422	0.7651	0.8611	0.7094

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0