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Roberta_reddit – AI Model by adity12345 | AlphaNeural AI
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adity12345
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Roberta_reddit
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
adity12345/RoBerta_Medhhml
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Roberta_reddit
This model is a fine-tuned version of
adity12345/RoBerta_Medhhml
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0003
Accuracy: 1.0
Auc: nan
Precision: 0.0
Recall: 0.0
F1: 0.0
F1-macro: 1.0
F1-micro: 1.0
F1-weighted: 1.0
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Auc
Precision
Recall
F1
F1-macro
F1-micro
F1-weighted
0.004
2.0
50
0.0003
1.0
nan
0.0
0.0
0.0
1.0
1.0
1.0
Framework versions
Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
