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ernie-1.0-base-zh-laure-swag – AI Model by Mykcy33 | AlphaNeural AI
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Mykcy33
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ernie-1.0-base-zh-laure-swag
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transformers
pytorch
tensorboard
ernie
multiple-choice
generated_from_trainer
endpoints_compatible
us
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ernie-1.0-base-zh-laure-swag
This model is a fine-tuned version of
nghuyong/ernie-1.0-base-zh
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0037
Accuracy: 0.8000
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: 16
eval_batch_size: 16
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
Accuracy
No log
1.0
7
1.0264
0.7600
No log
2.0
14
0.9992
0.75
No log
3.0
21
1.0037
0.8000
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3
