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finetuned_model – AI Model by ekatosha | AlphaNeural AI
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ekatosha
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finetuned_model
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transformers
safetensors
bert
token-classification
generated_from_trainer
dslim/bert-base-NER
finetune
mit
endpoints_compatible
us
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finetuned_model
This model is a fine-tuned version of
dslim/bert-base-NER
on an unknown dataset.
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: 64
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
7
4.6827
0.0759
0.0513
0.0612
0.4236
Framework versions
Transformers 4.46.3
Pytorch 2.2.2
Datasets 3.1.0
Tokenizers 0.20.3
