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bert-large-uncased-detect-depression-stage-one – AI Model by hoanghoavienvo | AlphaNeural AI
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bert-large-uncased-detect-depression-stage-one
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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-large-uncased-detect-depression-stage-one
This model is a fine-tuned version of
bert-large-uncased
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7875
eval_accuracy: 0.752
eval_f1: 0.8092
eval_runtime: 112.7187
eval_samples_per_second: 8.872
eval_steps_per_second: 2.218
epoch: 3.0
step: 4506
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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
