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FYP_sq2_mrqa_overfitting_dontUse – AI Model by kxx-kkk | AlphaNeural AI
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FYP_sq2_mrqa_overfitting_dontUse
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transformers
tensorboard
safetensors
deberta-v2
question-answering
generated_from_trainer
deepset/deberta-v3-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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FYP_sq2_mrqa
This model is a fine-tuned version of
deepset/deberta-v3-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2207
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.08
1.0
58676
1.1569
0.9346
2.0
117352
1.1576
0.8191
3.0
176028
1.2207
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
