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aiface/
bert-base-multilingual-uncased-sentiment_v3

Name: bert-base-multilingual-uncased-sentiment_v3
Availability: InStock

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bert-base-multilingual-uncased-sentiment_v3

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use 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
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Macro	Recall Macro	F1 Macro	F1 Weighted
0.3933	1.0	90	0.2349	0.9292	0.8484	0.7197	0.7474	0.9202
0.2051	2.0	180	0.2166	0.9236	0.8134	0.7619	0.7811	0.9199
0.1494	3.0	270	0.2369	0.9362	0.8619	0.7775	0.8072	0.9321
0.1233	4.0	360	0.2290	0.9343	0.8660	0.7894	0.8176	0.9309
0.0838	5.0	450	0.2490	0.9375	0.8610	0.8200	0.8378	0.9358
0.0799	6.0	540	0.2579	0.9343	0.8528	0.7977	0.8197	0.9317
0.0481	7.0	630	0.3494	0.9223	0.7926	0.8252	0.8064	0.9247
0.0406	8.0	720	0.3154	0.9368	0.8591	0.7986	0.8227	0.9341
0.032	9.0	810	0.3219	0.9305	0.8238	0.8153	0.8194	0.9301
0.0333	10.0	900	0.3787	0.9286	0.8387	0.8048	0.8198	0.9270
0.0278	11.0	990	0.3914	0.9311	0.8432	0.7948	0.8148	0.9288
0.0165	12.0	1080	0.4155	0.9318	0.8627	0.7830	0.8120	0.9282
0.0126	13.0	1170	0.4029	0.9368	0.8550	0.8161	0.8328	0.9352
0.0133	14.0	1260	0.4398	0.9324	0.8460	0.7915	0.8134	0.9297
0.01	15.0	1350	0.4571	0.9318	0.8347	0.7913	0.8094	0.9294
0.008	16.0	1440	0.4685	0.9299	0.8303	0.7899	0.8070	0.9276
0.0058	17.0	1530	0.4846	0.9318	0.8403	0.7954	0.8142	0.9295
0.0022	18.0	1620	0.4905	0.9280	0.8249	0.7928	0.8068	0.9262
0.0038	19.0	1710	0.5043	0.9299	0.8272	0.7897	0.8057	0.9277
0.0015	20.0	1800	0.4987	0.9286	0.8226	0.7931	0.8061	0.9269