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distil-bert-conll-2003 – AI Model by nanigock | AlphaNeural AI
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nanigock
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distil-bert-conll-2003
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pytorch
distilbert
generated_from_trainer
conll2003
distilbert/distilbert-base-cased
finetune
apache-2.0
model-index
us
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fine_tuned_model
This model is a fine-tuned version of
distilbert-base-cased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0696
Precision: 0.9087
Recall: 0.9327
F1: 0.9205
Accuracy: 0.9826
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2455
1.0
878
0.0875
0.8705
0.9098
0.8897
0.9748
0.059
2.0
1756
0.0692
0.8992
0.9303
0.9145
0.9814
0.0324
3.0
2634
0.0696
0.9087
0.9327
0.9205
0.9826
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
