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chinese-roberta-wwm-ext_lr_3e-05_batch_8_epoch_3_model – AI Model by riiwang | AlphaNeural AI
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chinese-roberta-wwm-ext_lr_3e-05_batch_8_epoch_3_model
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transformers
safetensors
bert
multiple-choice
generated_from_trainer
hfl/chinese-roberta-wwm-ext
finetune
apache-2.0
endpoints_compatible
us
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chinese-roberta-wwm-ext_lr_3e-05_batch_8_epoch_3_model
This model is a fine-tuned version of
hfl/chinese-roberta-wwm-ext
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1717
Accuracy: 0.9608
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: 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
0.1173
1.0
1358
0.1318
0.9588
0.056
2.0
2716
0.1317
0.9628
0.0163
3.0
4074
0.1717
0.9608
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
