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my_finetuned_wnut_model_1012 – AI Model by JayBDev | AlphaNeural AI
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JayBDev
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my_finetuned_wnut_model_1012
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
dslim/bert-base-NER
finetune
mit
autotrain_compatible
endpoints_compatible
us
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my_finetuned_wnut_model_1012
This model is a fine-tuned version of
dslim/bert-base-NER
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2611
Precision: 0.5882
Recall: 0.3865
F1: 0.4664
Accuracy: 0.9487
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
213
0.2453
0.5159
0.3753
0.4345
0.9464
No log
2.0
426
0.2611
0.5882
0.3865
0.4664
0.9487
Framework versions
Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2
