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berttest2 – AI Model by classtest | AlphaNeural AI
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berttest2
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transformers
pytorch
bert
token-classification
generated_from_trainer
conll2003
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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berttest2
This model is a fine-tuned version of
bert-base-cased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0674
Precision: 0.9138
Recall: 0.9325
F1: 0.9230
Accuracy: 0.9823
Model description
Model implemented for CSE 573 Course Project
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0869
1.0
1756
0.0674
0.9138
0.9325
0.9230
0.9823
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cpu
Datasets 2.6.1
Tokenizers 0.13.2
