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distilbert-base-uncased-TEMP – AI Model by dwedding | AlphaNeural AI
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dwedding
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distilbert-base-uncased-TEMP
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peft
tensorboard
safetensors
generated_from_trainer
distilbert/distilbert-base-uncased
adapter
apache-2.0
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distilbert-base-uncased-TEMP
This model is a fine-tuned version of
distilbert-base-uncased
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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use 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
250
0.7624
{'accuracy': 0.892}
Framework versions
PEFT 0.14.0
Transformers 4.48.1
Pytorch 2.6.0+cpu
Datasets 3.2.0
Tokenizers 0.21.0
