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deberta-v3-large-ft-icar-a-v0.11-to-b64 – AI Model by abdiharyadi | AlphaNeural AI
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deberta-v3-large-ft-icar-a-v0.11-to-b64
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-large
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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deberta-v3-large-ft-icar-a-v0.11-to-b64
This model is a fine-tuned version of
microsoft/deberta-v3-large
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7272
eval_accuracy: 0.8998
eval_precision: 0.8850
eval_recall: 0.8556
eval_f1: 0.8677
eval_runtime: 26.5549
eval_samples_per_second: 19.921
eval_steps_per_second: 19.921
epoch: 31.0
step: 1023
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: 3e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
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: 50
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
