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deberta-v3-xsmall-Label_B-768-epochs-3 – AI Model by avinasht | AlphaNeural AI
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deberta-v3-xsmall-Label_B-768-epochs-3
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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-768-epochs-3
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: 0.1073
Accuracy: 0.9741
F1: 0.9741
Precision: 0.9755
Recall: 0.9741
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: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.12
0.9994
1279
0.2452
0.9352
0.9350
0.9420
0.9352
0.0496
1.9996
2559
0.1073
0.9741
0.9741
0.9755
0.9741
0.0294
2.9982
3837
0.1162
0.9739
0.9739
0.9751
0.9739
Framework versions
Transformers 4.41.2
Pytorch 2.5.0+cu124
Datasets 2.18.0
Tokenizers 0.19.1
