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my_finetuned_wnut_model_1012 – AI Model by anyuanay | AlphaNeural AI
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my_finetuned_wnut_model_1012
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transformers
pytorch
bert
token-classification
generated_from_trainer
wnut_17
dslim/bert-base-NER
finetune
mit
model-index
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 the wnut_17 dataset. It achieves the following results on the evaluation set:
Loss: 0.2940
Precision: 0.5479
Recall: 0.3920
F1: 0.4571
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
0.2657
0.5157
0.3967
0.4484
0.9468
No log
2.0
426
0.2940
0.5479
0.3920
0.4571
0.9487
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
