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deberta-v3-base-Wnut-TokenClassification – AI Model by alitolga | AlphaNeural AI
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alitolga
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deberta-v3-base-Wnut-TokenClassification
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safetensors
generated_from_trainer
wnut_17
microsoft/deberta-v3-base
finetune
mit
us
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deberta-v3-base-Wnut-TokenClassification
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the wnut_17 dataset. It achieves the following results on the evaluation set:
Loss: 0.3286
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
0.2701
1.0
425
0.4030
0.1983
2.0
850
0.3375
0.2137
3.0
1275
0.3286
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
