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# chinese-macbert-base-finetuned-accelerate

This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.

## Model description

More information needed

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- batch_size: 8
- num_epochs: 10

### Training results
- exact_match:95.45
- f1:96.33
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transformers pytorch bert question-answering zh endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #question-answering #zh #endpoints_compatible #region-us 




# chinese-macbert-base-finetuned-accelerate

This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset.

## Model description

More information needed

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- batch_size: 8
- num_epochs: 10

### Training results
- exact_match:95.45
- f1:96.33
# chinese-macbert-base-finetuned-accelerate

This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset. ## Model description

More information needed ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- batch_size: 8
- num_epochs: 10 ### Training results
- exact_match:95.45
- f1:96.33
TAGS
#transformers #pytorch #bert #question-answering #zh #endpoints_compatible #region-us 
 # chinese-macbert-base-finetuned-accelerate

This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset. ## Model description

More information needed ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- batch_size: 8
- num_epochs: 10 ### Training results
- exact_match:95.45
- f1:96.33
TAGS
#transformers #pytorch #bert #question-answering #zh #endpoints_compatible #region-us 
# chinese-macbert-base-finetuned-accelerate

This model is a fine-tuned version of hfl/chinese-macbert-base on an unknown dataset.## Model description

More information needed### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- batch_size: 8
- num_epochs: 10### Training results
- exact_match:95.45
- f1:96.33