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roberta-base-conll2003-pos – AI Model by sagnikrayc | AlphaNeural AI
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roberta-base-conll2003-pos
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transformers
pytorch
tensorboard
roberta
token-classification
generated_from_trainer
conll2003
FacebookAI/roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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roberta-base-conll2003-pos
This model is a fine-tuned version of
roberta-base
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.1947
Precision: 0.9308
Recall: 0.9300
F1: 0.9304
Accuracy: 0.9524
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
Precision
Recall
F1
Accuracy
0.617
1.0
878
0.2189
0.9239
0.9210
0.9225
0.9470
0.1667
2.0
1756
0.1947
0.9308
0.9300
0.9304
0.9524
Framework versions
Transformers 4.18.0
Pytorch 1.14.0.dev20221107
Datasets 2.2.2
Tokenizers 0.12.1