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roberta-token-class – AI Model by Abhinav2499 | AlphaNeural AI
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Abhinav2499
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roberta-token-class
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transformers
pytorch
tensorboard
roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-token-class
This model is a fine-tuned version of
Jean-Baptiste/roberta-large-ner-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2595
Precision: 0.8544
Recall: 0.7572
F1: 0.7947
Accuracy: 0.9174
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2406
1.0
1796
0.2539
0.8826
0.6984
0.7510
0.9110
0.1859
2.0
3592
0.2415
0.8695
0.7310
0.7780
0.9155
0.1372
3.0
5388
0.2595
0.8544
0.7572
0.7947
0.9174
Framework versions
Transformers 4.29.2
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
