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test_finetune – AI Model by ogi3433 | AlphaNeural AI
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ogi3433
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test_finetune
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
huawei-noah/TinyBERT_General_4L_312D
finetune
autotrain_compatible
endpoints_compatible
us
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test_finetune
This model is a fine-tuned version of
huawei-noah/TinyBERT_General_4L_312D
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
125
1.4631
0.419
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
