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ramesh070/
mbert-hatespeechdetection-malayalam

Name: mbert-hatespeechdetection-malayalam
Availability: InStock

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mbert-hatespeechdetection-malayalam

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

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
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: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5749	1.0	23	0.4325	0.7955	0.7805
0.2836	2.0	46	0.2142	0.9091	0.9111
0.1191	3.0	69	0.2161	0.9432	0.9474
0.0512	4.0	92	0.5017	0.8864	0.8864
0.0434	5.0	115	0.4366	0.8977	0.8989
0.0417	6.0	138	0.3117	0.9091	0.9149
0.0096	7.0	161	0.8158	0.8636	0.8605
0.0167	8.0	184	0.5991	0.8977	0.8989
0.0222	9.0	207	0.5119	0.9091	0.9111
0.0006	10.0	230	0.3724	0.9318	0.9375
0.0062	11.0	253	0.3441	0.9545	0.9592
0.0034	12.0	276	0.3466	0.9318	0.9375
0.0004	13.0	299	0.4061	0.9432	0.9474
0.0037	14.0	322	0.3898	0.9432	0.9474
0.0003	15.0	345	0.4712	0.9318	0.9362
0.0003	16.0	368	0.4017	0.9318	0.9388
0.0003	17.0	391	0.4050	0.9318	0.9388
0.0003	18.0	414	0.4401	0.9432	0.9474
0.0002	19.0	437	0.4425	0.9318	0.9375
0.0002	20.0	460	0.4429	0.9318	0.9375