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distilbert-base-uncased-bio-tuned – AI Model by natasha1704 | AlphaNeural AI
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natasha1704
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distilbert-base-uncased-bio-tuned
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transformers
safetensors
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-bio-tuned
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0598
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: 512
eval_batch_size: 512
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
7
2.2757
No log
2.0
14
2.0737
No log
3.0
21
2.0517
Framework versions
Transformers 4.56.2
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.22.1
