bert_ds_sst3_5e-5_5_42 – AI Model by yongxin2020 | AlphaNeural AI

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yongxin2020/
bert_ds_sst3_5e-5_5_42

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert_ds_sst3_5e-5_5_42

This model is a fine-tuned version of /data/yongxin/DiaSumDA/token_classification/ACIInew/annotate_dialogsum_2e-5_5_42/ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0689
Precision: 0.8816
Recall: 0.8785
F1: 0.8800
Accuracy: 0.9792

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1293	1.0	534	0.0749	0.8752	0.8190	0.8462	0.9739
0.049	2.0	1068	0.0689	0.8816	0.8785	0.8800	0.9792
0.0227	3.0	1602	0.0792	0.8896	0.8880	0.8888	0.9805
0.0106	4.0	2136	0.1008	0.8878	0.8935	0.8906	0.9809
0.005	5.0	2670	0.1055	0.8951	0.8923	0.8937	0.9814

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.9.0+cu102
Datasets 2.8.0
Tokenizers 0.13.2