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my_awesome_wnut_model – AI Model by pierre-catie | AlphaNeural AI
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pierre-catie
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my_awesome_wnut_model
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
stevhliu/my_awesome_wnut_model
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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my_awesome_wnut_model
This model is a fine-tuned version of
stevhliu/my_awesome_wnut_model
on an unknown 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
125
0.2066
0.7377
0.6715
0.7031
0.9407
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
