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finetuning-profane-model-deberta – AI Model by devtanumisra | AlphaNeural AI
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finetuning-profane-model-deberta
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transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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finetuning-profane-model-deberta
This model is a fine-tuned version of
yangheng/deberta-v3-base-absa-v1.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6243
Accuracy: 0.8322
F1: 0.8455
Precision: 0.8015
Recall: 0.8946
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: 10
Training results
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
