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deberta_absa – AI Model by priyanka101 | AlphaNeural AI
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deberta_absa
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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deberta_absa
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2283
Accuracy: 0.9316
F1: 0.9316
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.2447
1.0
1258
0.2346
0.9195
0.9193
0.1557
2.0
2516
0.2283
0.9316
0.9316
0.1115
3.0
3774
0.2740
0.9302
0.9300
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
