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distilbert-finetuned-ner – AI Model by SafaAb | AlphaNeural AI
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SafaAb
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distilbert-finetuned-ner
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transformers
pytorch
tensorboard
distilbert
token-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-finetuned-ner
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6657
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.8281
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
3
0.7560
0.0
0.0
0.0
0.8260
No log
2.0
6
0.6863
0.0
0.0
0.0
0.8281
No log
3.0
9
0.6672
0.0
0.0
0.0
0.8281
No log
3.33
10
0.6657
0.0
0.0
0.0
0.8281
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
