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absa_sentiment_classifier – AI Model by EbisuRyu | AlphaNeural AI
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absa_sentiment_classifier
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
yangheng/deberta-v3-base-absa-v1.1
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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absa_sentiment_classifier
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: 0.2757
Accuracy: 0.9410
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1904
1.0
296
0.2309
0.9359
0.0724
2.0
592
0.2757
0.9410
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
