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roberta-base-finetuned-papernew4 – AI Model by reyhanemyr | AlphaNeural AI
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reyhanemyr
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roberta-base-finetuned-papernew4
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transformers
pytorch
tensorboard
roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-papernew4
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1043
Precision: 0.7857
Recall: 0.8422
F1: 0.8130
Accuracy: 0.9744
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: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1425
6.17
500
0.1043
0.7857
0.8422
0.8130
0.9744
Framework versions
Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
