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mental-roberta_depression_v2 – AI Model by jordanfan | AlphaNeural AI
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mental-roberta_depression_v2
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transformers
safetensors
roberta
text-classification
generated_from_trainer
mental/mental-roberta-base
finetune
cc-by-nc-4.0
autotrain_compatible
endpoints_compatible
us
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mental-roberta_depression_v2
This model is a fine-tuned version of
mental/mental-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5003
Accuracy: 0.7974
Precision: 0.7981
Recall: 0.7974
F1: 0.7972
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: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.5859
1.0
969
0.5015
0.7693
0.7913
0.7693
0.7608
0.416
2.0
1938
0.4553
0.7984
0.8032
0.7984
0.7980
0.3386
3.0
2907
0.5003
0.7974
0.7981
0.7974
0.7972
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
