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ruRoberta-large_ner – AI Model by KobanBanan | AlphaNeural AI
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ruRoberta-large_ner
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transformers
pytorch
roberta
token-classification
generated_from_trainer
ai-forever/ruRoberta-large
finetune
autotrain_compatible
endpoints_compatible
us
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ruRoberta-large_ner
This model is a fine-tuned version of
ai-forever/ruRoberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1853
Precision: 0.7273
Recall: 0.8
F1: 0.7619
Accuracy: 0.9333
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: 8
eval_batch_size: 8
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
No log
1.0
15
0.4171
0.5833
0.7
0.6364
0.8067
No log
2.0
30
0.2306
0.6765
0.7667
0.7188
0.9
No log
3.0
45
0.1853
0.7273
0.8
0.7619
0.9333
Framework versions
Transformers 4.32.1
Pytorch 2.1.0.dev20230621+cu117
Datasets 2.13.0
Tokenizers 0.13.3
