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overlaying – AI Model by Welsey | AlphaNeural AI
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Welsey
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overlaying
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-chinese
finetune
autotrain_compatible
endpoints_compatible
us
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overlaying
This model is a fine-tuned version of
bert-base-chinese
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0542
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
3
0.8846
No log
2.0
6
1.0542
Framework versions
Transformers 4.41.2
Pytorch 2.1.0
Datasets 2.19.2
Tokenizers 0.19.1
