generated_from_trainer

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results

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

Model description

Labels = ['chatbot_post_api', 'confluence_create_page',
       'confluence_get_content', 'confluence_get_search',
       'create_image_api_create_image_post', 'hotdesk_get_available',
       'hotdesk_get_reserve', 'hotdesk_get_search', 'hotdesk_post_cancel',
       'hotdesk_post_reserve', 'jira_direct_api', 'jira_direct_get_api',
       'meeting_master_get_meeting', 'meeting_master_get_my_meeting',
       'meeting_master_get_room', 'meeting_master_get_user',
       'meeting_master_post_meeting', 'mydataai',
       'search_api_google_search_search_post']

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Micro f1 Macro f1
0.2581 1.0 217 0.1799 0.4690 0.1589
0.1565 2.0 434 0.1342 0.6834 0.3085
0.1166 3.0 651 0.1072 0.7267 0.3442
0.0942 4.0 868 0.0973 0.7073 0.3164
0.0809 5.0 1085 0.0827 0.7821 0.4383
0.0744 6.0 1302 0.0877 0.7809 0.4146
0.0606 7.0 1519 0.0784 0.7985 0.4510
0.0566 8.0 1736 0.0929 0.7726 0.4572
0.0539 9.0 1953 0.0899 0.7871 0.4522
0.0452 10.0 2170 0.0804 0.8044 0.5295
0.0406 11.0 2387 0.0822 0.8032 0.5213
0.0365 12.0 2604 0.0849 0.8060 0.6047
0.0334 13.0 2821 0.0780 0.8209 0.6309
0.0304 14.0 3038 0.0920 0.8039 0.6351
0.028 15.0 3255 0.0746 0.8319 0.6959
0.0243 16.0 3472 0.0741 0.8249 0.6261
0.0187 17.0 3689 0.0803 0.8339 0.7053
0.0157 18.0 3906 0.0809 0.8370 0.7643
0.0131 19.0 4123 0.0837 0.8244 0.7782
0.0139 20.0 4340 0.0833 0.8343 0.7940

Framework versions