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bert-base-uncased-finetuned-md – AI Model by caioamb | AlphaNeural AI
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caioamb
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bert-base-uncased-finetuned-md
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-md
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3329
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: 16
eval_batch_size: 16
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
0.2415
1.0
1044
0.2084
0.1244
2.0
2088
0.2903
0.0427
3.0
3132
0.3329
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Tokenizers 0.10.3
