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xroberta-base-detect-depression-stage-one-ver2 – AI Model by hoanghoavienvo | AlphaNeural AI
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hoanghoavienvo
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xroberta-base-detect-depression-stage-one-ver2
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xroberta-base-detect-depression-stage-one-ver2
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6403
Accuracy: 0.717
F1: 0.7893
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.6432
1.0
751
0.5957
0.743
0.8219
0.6285
2.0
1502
0.5813
0.719
0.8085
0.6165
3.0
2253
0.6459
0.7
0.7976
0.5371
4.0
3004
0.5612
0.743
0.8120
0.46
5.0
3755
0.6403
0.717
0.7893
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
