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zero-shot_text_classification_pre_trained – AI Model by MaVier19 | AlphaNeural AI
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MaVier19
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zero-shot_text_classification_pre_trained
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
finetune
mit
autotrain_compatible
endpoints_compatible
us
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zero-shot_text_classification_pre_trained
This model is a fine-tuned version of
MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8939
Accuracy: 0.695
F1: 0.6917
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.7346
1.0
750
0.8939
0.695
0.6917
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
