bert-base-chinese-finetuned-question-answering-8 – AI Model by jazzson | AlphaNeural AI

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jazzson/
bert-base-chinese-finetuned-question-answering-8

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question-answering

generated_from_trainer

google-bert/bert-base-chinese

endpoints_compatible

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bert-base-chinese-finetuned-question-answering-8

This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0682

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6873	0.1842	500	1.1089
1.1046	0.3683	1000	0.9349
0.9793	0.5525	1500	0.9402
0.9477	0.7366	2000	0.8424
0.8951	0.9208	2500	0.8333
0.6411	1.1050	3000	0.9014
0.4946	1.2891	3500	0.9121
0.4887	1.4733	4000	0.8586
0.4875	1.6575	4500	0.9060
0.4483	1.8416	5000	0.7990
0.4079	2.0258	5500	0.9980
0.2337	2.2099	6000	1.0852
0.2342	2.3941	6500	1.0850
0.2239	2.5783	7000	1.0937
0.1853	2.7624	7500	1.1032
0.2009	2.9466	8000	1.0682

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1