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mental-roberta_depression – AI Model by jordanfan | AlphaNeural AI
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jordanfan
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mental-roberta_depression
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peft
safetensors
generated_from_trainer
mental/mental-roberta-base
adapter
cc-by-nc-4.0
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mental-roberta_depression
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: 0.5389
Accuracy: 0.7679
Precision: 0.7676
Recall: 0.7679
F1: 0.7674
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
0.8254
1.0
969
0.5788
0.7473
0.7463
0.7473
0.7465
0.5832
2.0
1938
0.5451
0.7671
0.7671
0.7671
0.7664
0.5514
3.0
2907
0.5389
0.7679
0.7676
0.7679
0.7674
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
