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roberta-large-Dep-v1 – AI Model by ericNguyen0132 | AlphaNeural AI
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ericNguyen0132
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roberta-large-Dep-v1
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
rafalposwiata/deproberta-large-depression
finetune
autotrain_compatible
endpoints_compatible
us
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roberta-large-Dep-v1
This model is a fine-tuned version of
rafalposwiata/deproberta-large-depression
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5267
Accuracy: 0.855
F1: 0.9138
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-06
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
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
469
0.3785
0.855
0.9150
0.3765
2.0
938
0.3664
0.8767
0.9287
0.3178
3.0
1407
0.5267
0.855
0.9138
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
