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roberta-classifier – AI Model by B2306575 | AlphaNeural AI
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B2306575
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roberta-classifier
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
endpoints_compatible
us
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roberta-classifier
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: 2.1704
Accuracy: 0.2840
F1: 0.2332
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
166
2.4968
0.2006
0.1284
No log
2.0
332
2.1704
0.2840
0.2332
Framework versions
Transformers 5.12.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
