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mdeberta-v3-base – AI Model by avinasht | AlphaNeural AI
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avinasht
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mdeberta-v3-base
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/mdeberta-v3-base
finetune
mit
endpoints_compatible
us
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mdeberta-v3-base
This model is a fine-tuned version of
microsoft/mdeberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5898
Accuracy: 0.8938
F1: 0.8938
Precision: 0.8938
Recall: 0.8938
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: 1
eval_batch_size: 1
seed: 42
optimizer: Use 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4905
1.0
1091
0.6779
0.8681
0.8681
0.8681
0.8681
0.559
2.0
2182
0.5898
0.8938
0.8938
0.8938
0.8938
Framework versions
Transformers 4.52.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
