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PassbyGrocer/
robert_bilstm_mega_res-ner-msra-ner

Name: robert_bilstm_mega_res-ner-msra-ner
Availability: InStock

generated_from_trainer

hfl/chinese-roberta-wwm-ext-large

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robert_bilstm_mega_res-ner-msra-ner

This model is a fine-tuned version of hfl/chinese-roberta-wwm-ext-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0668
Precision: 0.9473
Recall: 0.9473
F1: 0.9473
Accuracy: 0.9928

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
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
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0421	1.0	1449	0.0274	0.9225	0.9341	0.9282	0.9923
0.0077	2.0	2898	0.0355	0.9255	0.9389	0.9321	0.9910
0.0066	3.0	4347	0.0376	0.9397	0.9384	0.9391	0.9921
0.0031	4.0	5796	0.0421	0.9385	0.9401	0.9393	0.9926
0.0071	5.0	7245	0.0446	0.9365	0.9446	0.9406	0.9923
0.0007	6.0	8694	0.0431	0.9457	0.9398	0.9428	0.9930
0.0003	7.0	10143	0.0494	0.9412	0.9408	0.9410	0.9926
0.0013	8.0	11592	0.0584	0.9379	0.9338	0.9358	0.9917
0.0003	9.0	13041	0.0557	0.9373	0.9422	0.9398	0.9923
0.0011	10.0	14490	0.0525	0.9395	0.9463	0.9429	0.9926
0.0	11.0	15939	0.0569	0.9379	0.9449	0.9414	0.9924
0.0001	12.0	17388	0.0586	0.9358	0.9434	0.9396	0.9922
0.0	13.0	18837	0.0601	0.9439	0.9437	0.9438	0.9926
0.0013	14.0	20286	0.0606	0.9395	0.9454	0.9424	0.9924
0.0	15.0	21735	0.0591	0.9451	0.9495	0.9473	0.9926
0.0	16.0	23184	0.0608	0.9399	0.9490	0.9444	0.9926
0.0	17.0	24633	0.0620	0.9440	0.9454	0.9447	0.9927
0.0	18.0	26082	0.0636	0.9493	0.9454	0.9473	0.9926
0.0	19.0	27531	0.0681	0.9460	0.9451	0.9456	0.9926
0.0	20.0	28980	0.0630	0.9430	0.9430	0.9430	0.9925
0.0	21.0	30429	0.0620	0.9445	0.9463	0.9454	0.9928
0.0	22.0	31878	0.0671	0.9456	0.9446	0.9451	0.9926
0.0	23.0	33327	0.0682	0.9479	0.9451	0.9465	0.9926
0.0	24.0	34776	0.0671	0.9475	0.9466	0.9470	0.9927
0.0	25.0	36225	0.0668	0.9473	0.9473	0.9473	0.9928

Framework versions

Transformers 4.46.2
Pytorch 2.4.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

PassbyGrocer/robert_bilstm_mega_res-ner-msra-ner

robert_bilstm_mega_res-ner-msra-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

PassbyGrocer/
robert_bilstm_mega_res-ner-msra-ner