You can deploy this model and start earning money today!

Mardiyyah/
CeLLaTe-ner-3class-pubmedbert-tapt-tokenizer-adapted-wwmask

Name: CeLLaTe-ner-3class-pubmedbert-tapt-tokenizer-adapted-wwmask
Availability: InStock

Views

No views yet

CeLLaTe-ner-3class-pubmedbert-tapt-tokenizer-adapted-wwmask

This model is a fine-tuned version of Mardiyyah/CeLLaTe-tapt-pubmedbert-tokenizer-adapted-wwmask on the OTAR3088/CeLLaTe-ner-3class-iob_final dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 3407
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.01
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Micro F1	Weighted F1	Macro F1	Accuracy
0.3641	1.0	263	0.0826	0.4130	0.5639	0.4768	0.4655	0.4346	0.9706
0.0551	2.0	526	0.0661	0.7539	0.6901	0.7206	0.7214	0.7225	0.9804
0.0337	3.0	789	0.0691	0.7195	0.7291	0.7243	0.7249	0.7265	0.9804
0.024	4.0	1052	0.0729	0.7382	0.7409	0.7396	0.7408	0.7365	0.9820
0.018	5.0	1315	0.0756	0.7594	0.7255	0.7421	0.7416	0.7391	0.9820
0.0142	6.0	1578	0.0841	0.7311	0.7029	0.7167	0.7181	0.7170	0.9805
0.0113	7.0	1841	0.0863	0.7524	0.7373	0.7448	0.7446	0.7422	0.9818
0.009	8.0	2104	0.1002	0.7748	0.7219	0.7474	0.7466	0.7432	0.9817
0.0076	9.0	2367	0.0939	0.7224	0.7558	0.7387	0.7394	0.7355	0.9814
0.0062	10.0	2630	0.1031	0.7734	0.7111	0.7410	0.7406	0.7376	0.9816
0.0052	11.0	2893	0.1002	0.7541	0.7491	0.7516	0.7522	0.7501	0.9821
0.0045	12.0	3156	0.1076	0.7888	0.7224	0.7542	0.7539	0.7499	0.9822
0.0037	13.0	3419	0.1055	0.7465	0.7614	0.7539	0.7542	0.7509	0.9822
0.0032	14.0	3682	0.1055	0.7506	0.7553	0.7529	0.7536	0.7528	0.9821
0.0034	15.0	3945	0.1093	0.7777	0.7486	0.7629	0.7629	0.7610	0.9827
0.0026	16.0	4208	0.1095	0.7499	0.7630	0.7564	0.7568	0.7538	0.9827
0.0025	17.0	4471	0.1138	0.7688	0.7491	0.7588	0.7586	0.7571	0.9825
0.0021	18.0	4734	0.1145	0.7560	0.7568	0.7564	0.7566	0.7541	0.9825
0.002	19.0	4997	0.1149	0.7668	0.7542	0.7605	0.7603	0.7586	0.9828
0.0019	20.0	5260	0.1132	0.7706	0.7532	0.7618	0.7617	0.7597	0.9827