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transformerNERmodel – AI Model by Odelolasolomon | AlphaNeural AI
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Odelolasolomon
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transformerNERmodel
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
us
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transformerNERmodel
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2971
Precision: 0.4671
Recall: 0.4134
F1: 0.4386
Accuracy: 0.9091
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
56
0.3648
0.5574
0.0583
0.1056
0.8803
No log
2.0
112
0.3058
0.4895
0.3585
0.4139
0.9049
No log
3.0
168
0.2971
0.4671
0.4134
0.4386
0.9091
Framework versions
Transformers 4.38.2
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2
