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roberta-base-russian-v0-finetuned-ner – AI Model by Eka-Korn | AlphaNeural AI
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Eka-Korn
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roberta-base-russian-v0-finetuned-ner
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transformers
tensorboard
safetensors
roberta
token-classification
generated_from_trainer
blinoff/roberta-base-russian-v0
finetune
autotrain_compatible
endpoints_compatible
us
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roberta-base-russian-v0-finetuned-ner
This model is a fine-tuned version of
blinoff/roberta-base-russian-v0
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0284
Precision: 0.9483
Recall: 0.9658
F1: 0.9570
Accuracy: 0.9923
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0523
1.0
1321
0.0423
0.9090
0.9398
0.9241
0.9865
0.0199
2.0
2642
0.0317
0.9321
0.9582
0.9450
0.9907
0.0076
3.0
3963
0.0284
0.9483
0.9658
0.9570
0.9923
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
