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deberta-v3-small-Label_B-768-epochs-2 – AI Model by avinasht | AlphaNeural AI
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deberta-v3-small-Label_B-768-epochs-2
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safetensors
deberta-v2
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
us
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deberta-v3-small-Label_B-768-epochs-2
This model is a fine-tuned version of
microsoft/deberta-v3-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0681
Accuracy: 0.9838
F1: 0.9838
Precision: 0.9839
Recall: 0.9838
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: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0738
0.9996
2132
0.0977
0.9762
0.9762
0.9771
0.9762
0.0018
1.9993
4264
0.0681
0.9838
0.9838
0.9839
0.9838
Framework versions
Transformers 4.41.2
Pytorch 2.5.0+cu124
Datasets 2.18.0
Tokenizers 0.19.1
