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gokuls/
hbertv2-Massive-intent_48_emb_compress

Name: hbertv2-Massive-intent_48_emb_compress
Availability: InStock

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hbertv2-Massive-intent_48_emb_compress

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48 on the massive dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2651	1.0	180	1.2606	0.6606
1.0649	2.0	360	1.0114	0.7383
0.7609	3.0	540	0.8142	0.7959
0.5705	4.0	720	0.8234	0.7919
0.4182	5.0	900	0.7970	0.8013
0.3164	6.0	1080	0.7823	0.8141
0.233	7.0	1260	0.8068	0.8151
0.1623	8.0	1440	0.8618	0.8234
0.1208	9.0	1620	0.8545	0.8239
0.0823	10.0	1800	0.9072	0.8288
0.0508	11.0	1980	0.8755	0.8431
0.0329	12.0	2160	0.9474	0.8318
0.0181	13.0	2340	0.9236	0.8436
0.0084	14.0	2520	0.9424	0.8470
0.0045	15.0	2700	0.9335	0.8490