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my_awesome_wnut_model – AI Model by AlanRobotics | AlphaNeural AI
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my_awesome_wnut_model
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
wnut_17
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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my_awesome_wnut_model
This model is a fine-tuned version of
distilbert-base-uncased
on the wnut_17 dataset.
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: 0.01
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
0.0141
3
1.9691
0.0327
0.0306
0.0316
0.8881
Framework versions
Transformers 4.45.2
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.20.3
