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bert-base-chinese-finetuned-question-answering-lert-base-2-exactmatch – AI Model by jazzson | AlphaNeural AI
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jazzson
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bert-base-chinese-finetuned-question-answering-lert-base-2-exactmatch
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transformers
safetensors
bert
question-answering
generated_from_trainer
hfl/chinese-lert-base
finetune
apache-2.0
endpoints_compatible
us
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bert-base-chinese-finetuned-question-answering-lert-base-2-exactmatch
This model is a fine-tuned version of
hfl/chinese-lert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3554
Exact Match: 0.7989
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Exact Match
0.3058
0.5526
3000
1.3943
0.7198
0.8026
1.1052
6000
1.2028
0.7644
0.4282
1.6578
9000
1.1459
0.7813
0.3117
2.2104
12000
1.4552
0.7933
0.1929
2.7629
15000
1.3554
0.7989
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
