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roberta_base – AI Model by Stephanie-S | AlphaNeural AI
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Stephanie-S
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roberta_base
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta_base
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: 0.1851
Accuracy: 0.9542
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2379
1.0
625
0.1391
0.9502
0.1424
2.0
1250
0.1851
0.9542
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
