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bert-finetuned-ner – AI Model by andrtest | AlphaNeural AI
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bert-finetuned-ner
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
ukr-models/xlm-roberta-base-uk
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner
This model is a fine-tuned version of
ukr-models/xlm-roberta-base-uk
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6570
Precision: 0.0917
Recall: 0.5882
F1: 0.1587
Accuracy: 0.1101
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: 1
eval_batch_size: 1
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
3
1.7579
0.0917
0.5882
0.1587
0.1101
No log
2.0
6
1.6570
0.0917
0.5882
0.1587
0.1101
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
