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deberta-v3-xsmall-Label_B-1024 – AI Model by avinasht | AlphaNeural AI
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deberta-v3-xsmall-Label_B-1024
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safetensors
deberta-v2
generated_from_trainer
microsoft/deberta-v3-xsmall
finetune
mit
us
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deberta-v3-xsmall-Label_B-1024
This model is a fine-tuned version of
microsoft/deberta-v3-xsmall
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0888
Accuracy: 0.9744
F1: 0.9743
Precision: 0.9749
Recall: 0.9744
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: 7
eval_batch_size: 7
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 28
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.052
1.0
1828
0.0888
0.9744
0.9743
0.9749
0.9744
Framework versions
Transformers 4.41.2
Pytorch 2.5.0+cu124
Datasets 2.18.0
Tokenizers 0.19.1
