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results – AI Model by jnjwwi | AlphaNeural AI
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results
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transformers
safetensors
bert
text-classification
generated_from_trainer
klue/bert-base
finetune
cc-by-sa-4.0
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
klue/bert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2863
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
60
0.4431
No log
2.0
120
0.2713
No log
3.0
180
0.2741
No log
4.0
240
0.2826
No log
5.0
300
0.2863
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
