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distilbert-base-uncased-bert-yoga-finetuned – AI Model by dsantistevan | AlphaNeural AI
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distilbert-base-uncased-bert-yoga-finetuned
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transformers
pytorch
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-bert-yoga-finetuned
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: 2.2067
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: 64
eval_batch_size: 64
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
2.5956
1.0
313
2.3020
2.3742
2.0
626
2.2212
2.3034
3.0
939
2.1906
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cpu
Datasets 2.4.0
Tokenizers 0.12.1