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results-deberta – AI Model by naylaarr | AlphaNeural AI
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results-deberta
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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results-deberta
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1976
F1 Macro: 0.3990
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Macro
0.2118
1.0
1307
0.2059
0.2894
0.1941
2.0
2614
0.1989
0.3468
0.1857
3.0
3921
0.1966
0.3980
0.1766
4.0
5228
0.1976
0.3990
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
