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hw1-1-question_answering-bert-base-chinese-finetuned – AI Model by b10401015 | AlphaNeural AI
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hw1-1-question_answering-bert-base-chinese-finetuned
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
google-bert/bert-base-chinese
finetune
endpoints_compatible
us
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hw1-1-question_answering-bert-base-chinese-finetuned
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: 1.0942
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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1333
1.0
13822
1.0942
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
