electra-srb-ner-setimes

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2804
• Precision: 0.8286
• Recall: 0.8081
• F1: 0.8182
• Accuracy: 0.9547

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	104	0.2981	0.6737	0.6113	0.6410	0.9174
No log	2.0	208	0.2355	0.7279	0.6701	0.6978	0.9307
No log	3.0	312	0.2079	0.7707	0.7062	0.7371	0.9402
No log	4.0	416	0.2078	0.7689	0.7479	0.7582	0.9449
0.2391	5.0	520	0.2089	0.8083	0.7476	0.7767	0.9484
0.2391	6.0	624	0.2199	0.7981	0.7726	0.7851	0.9487
0.2391	7.0	728	0.2528	0.8205	0.7749	0.7971	0.9511
0.2391	8.0	832	0.2265	0.8074	0.8003	0.8038	0.9524
0.2391	9.0	936	0.2843	0.8265	0.7716	0.7981	0.9504
0.0378	10.0	1040	0.2450	0.8024	0.8019	0.8021	0.9520
0.0378	11.0	1144	0.2550	0.8116	0.7986	0.8051	0.9519
0.0378	12.0	1248	0.2706	0.8208	0.7957	0.8081	0.9532
0.0378	13.0	1352	0.2664	0.8040	0.8035	0.8038	0.9530
0.0378	14.0	1456	0.2571	0.8011	0.8110	0.8060	0.9529
0.0099	15.0	1560	0.2673	0.8051	0.8129	0.8090	0.9534
0.0099	16.0	1664	0.2733	0.8074	0.8087	0.8081	0.9529
0.0099	17.0	1768	0.2835	0.8254	0.8074	0.8163	0.9543
0.0099	18.0	1872	0.2771	0.8222	0.8081	0.8151	0.9545
0.0099	19.0	1976	0.2776	0.8237	0.8084	0.8160	0.9546
0.0044	20.0	2080	0.2804	0.8286	0.8081	0.8182	0.9547

Framework versions

• Transformers 4.9.2
• Pytorch 1.9.0
• Datasets 1.11.0
• Tokenizers 0.10.1