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distilbert-base-uncased-unlearned-sun – AI Model by bqKuhli | AlphaNeural AI
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bqKuhli
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distilbert-base-uncased-unlearned-sun
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transformers
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-unlearned-sun
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7688
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.8899
1.0
4
0.7782
2.0781
2.0
8
1.5359
3.2087
3.0
12
1.7688
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cpu
Datasets 2.15.0
Tokenizers 0.15.0
