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model_6012023 – AI Model by Buseak | AlphaNeural AI
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Buseak
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model_6012023
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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model_6012023
This model is a fine-tuned version of
Buseak/my_pos_model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2391
Precision: 0.9109
Recall: 0.9042
F1: 0.9076
Accuracy: 0.9348
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: 32
eval_batch_size: 32
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
No log
1.0
244
0.3030
0.8906
0.8845
0.8875
0.9202
No log
2.0
488
0.2526
0.9051
0.8977
0.9014
0.9306
0.4278
3.0
732
0.2391
0.9109
0.9042
0.9076
0.9348
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
