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mental_health_model_rob – AI Model by AlexanderHolmes0 | AlphaNeural AI
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mental_health_model_rob
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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mental_health_model_rob
This model is a fine-tuned version of
FacebookAI/roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5858
Accuracy: 0.7585
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Accuracy
Validation Loss
No log
1.0
270
0.7201
0.6445
0.7167
2.0
540
0.7585
0.5858
0.7167
3.0
810
0.7726
0.6201
0.3475
4.0
1080
0.7829
0.6671
0.3475
5.0
1350
0.7226
0.7786
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
