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results – AI Model by Karyl-Maxine | AlphaNeural AI
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Karyl-Maxine
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results
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transformers
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2961
Accuracy: 0.9011
F1: 0.7469
Precision: 0.6734
Recall: 0.8384
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
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.2932
1.0
1137
0.2963
0.9011
0.7463
0.6741
0.8359
0.2329
2.0
2274
0.2637
0.9235
0.7723
0.8016
0.7449
0.1552
3.0
3411
0.3774
0.9094
0.7559
0.7121
0.8056
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
