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Mardiyyah/
CeLLaTe-ner-3class-pubmedbert-tapt-tokenizer-original-spanmask

Name: CeLLaTe-ner-3class-pubmedbert-tapt-tokenizer-original-spanmask
Rating: 2.5 (12 reviews)

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CeLLaTe-ner-3class-pubmedbert-tapt-tokenizer-original-spanmask

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

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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
0.3682	1.0	263	0.0777	0.5310	0.6283	0.5756	0.5686	0.5479	0.9754
0.056	2.0	526	0.0636	0.7462	0.7100	0.7277	0.7276	0.7262	0.9812
0.0351	3.0	789	0.0682	0.7267	0.7309	0.7288	0.7294	0.7271	0.9809
0.0242	4.0	1052	0.0756	0.7670	0.7163	0.7408	0.7400	0.7365	0.9819
0.0185	5.0	1315	0.0741	0.7752	0.7179	0.7454	0.7455	0.7425	0.9820
0.0144	6.0	1578	0.0816	0.7153	0.7350	0.7250	0.7250	0.7224	0.9808
0.0112	7.0	1841	0.0887	0.7523	0.7288	0.7403	0.7389	0.7359	0.9818
0.0091	8.0	2104	0.0913	0.7351	0.7236	0.7293	0.7299	0.7290	0.9812
0.0078	9.0	2367	0.0939	0.7615	0.7397	0.7505	0.7497	0.7463	0.9820
0.0066	10.0	2630	0.1002	0.7700	0.7163	0.7422	0.7414	0.7388	0.9818
0.0056	11.0	2893	0.1002	0.7560	0.7356	0.7456	0.7450	0.7413	0.9818
0.0049	12.0	3156	0.1047	0.7563	0.7543	0.7553	0.7554	0.7513	0.9822
0.0042	13.0	3419	0.1077	0.7561	0.7522	0.7542	0.7532	0.7495	0.9822
0.0037	14.0	3682	0.1076	0.7651	0.7408	0.7527	0.7522	0.7482	0.9821
0.0032	15.0	3945	0.1100	0.7404	0.7616	0.7508	0.7504	0.7470	0.9818
0.0027	16.0	4208	0.1098	0.7575	0.7527	0.7551	0.7548	0.7516	0.9823
0.0025	17.0	4471	0.1143	0.7635	0.7376	0.7503	0.7500	0.7474	0.9819
0.0024	18.0	4734	0.1145	0.7444	0.7548	0.7495	0.7493	0.7468	0.9818
0.002	19.0	4997	0.1141	0.7609	0.7553	0.7581	0.7577	0.7544	0.9823
0.002	20.0	5260	0.1137	0.7578	0.7574	0.7576	0.7573	0.7538	0.9821