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deBERTa_suicide_base – AI Model by jordanfan | AlphaNeural AI
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jordanfan
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deBERTa_suicide_base
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peft
safetensors
generated_from_trainer
microsoft/deberta-v3-base
adapter
mit
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deBERTa_suicide_base
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3225
Accuracy: 0.8684
Precision: 0.8688
Recall: 0.8684
F1: 0.8685
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: 16
eval_batch_size: 16
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
0.3462
1.0
13923
0.3320
0.8632
0.8635
0.8632
0.8631
0.3203
2.0
27846
0.3218
0.8691
0.8692
0.8691
0.8691
0.307
3.0
41769
0.3225
0.8684
0.8688
0.8684
0.8685
Framework versions
PEFT 0.14.0
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
