abdiharyadi/deberta-v3-large-ft-icar-a-v0.11-to-b64

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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