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BulBERT-ner-wikiann_3epochs – AI Model by mor40 | AlphaNeural AI
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mor40
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BulBERT-ner-wikiann_3epochs
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transformers
pytorch
bert
token-classification
generated_from_trainer
mor40/BulBERT-chitanka-model
finetune
autotrain_compatible
endpoints_compatible
us
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BulBERT-ner-wikiann_3epochs
This model is a fine-tuned version of
mor40/BulBERT-chitanka-model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2315
Precision: 0.7856
Recall: 0.8456
F1: 0.8145
Accuracy: 0.9419
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
0.2412
1.0
2030
0.2453
0.7370
0.8098
0.7716
0.9275
0.159
2.0
4060
0.2240
0.7746
0.8358
0.8040
0.9393
0.1014
3.0
6090
0.2315
0.7856
0.8456
0.8145
0.9419
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
