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DAEMON_TONGUE_JUDGE – AI Model by 44WXNRFEELSLIKEPINSANDNEEDLESINMYHEART | AlphaNeural AI
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DAEMON_TONGUE_JUDGE
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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DAEMON_TONGUE_JUDGE
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4976
Accuracy: 0.8323
F1: 0.8402
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: 993
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.6570
1.0
57
0.5203
0.7764
0.7831
0.3351
2.0
114
0.4229
0.8199
0.8176
0.2571
3.0
171
0.4470
0.8385
0.8506
0.1672
4.0
228
0.4976
0.8323
0.8402
Framework versions
Transformers 5.10.2
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
