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question-or-statement – AI Model by nikolasmoya | AlphaNeural AI
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nikolasmoya
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question-or-statement
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transformers
pytorch
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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question-or-statement
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0028
Accuracy: 0.9996
Precision: 0.9996
Recall: 0.9995
F1: 0.9996
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.0037
1.0
10578
0.0047
0.9994
0.9997
0.9990
0.9994
0.0016
2.0
21156
0.0028
0.9996
0.9996
0.9995
0.9996
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
