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ntu_adl_span_selection_macbert – AI Model by xjlulu | AlphaNeural AI
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xjlulu
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ntu_adl_span_selection_macbert
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transformers
pytorch
bert
question-answering
generated_from_trainer
hfl/chinese-macbert-base
finetune
apache-2.0
endpoints_compatible
us
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ntu_adl_span_selection_macbert
This model is a fine-tuned version of
hfl/chinese-macbert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1049
Em Accuracy: 0.7846
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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
Em Accuracy
0.7063
1.0
5428
0.6971
0.7627
0.4457
2.0
10857
0.8407
0.7840
0.2263
3.0
16284
1.1049
0.7846
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
