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my_ner_model – AI Model by Romblebee | AlphaNeural AI
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Romblebee
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my_ner_model
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safetensors
bert
generated_from_trainer
DeepPavlov/rubert-base-cased
finetune
us
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my_ner_model
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5618
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.8411
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
No log
1.0
2
0.7150
0.0
0.0
0.0
0.8224
No log
2.0
4
0.5618
0.0
0.0
0.0
0.8411
Framework versions
Transformers 4.43.3
Pytorch 2.4.0+cu124
Datasets 2.20.0
Tokenizers 0.19.1
