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QA-deepset-squad-SH – AI Model by shams-marouf | AlphaNeural AI
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QA-deepset-squad-SH
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transformers
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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QA-deepset-squad-SH
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: 1.7062
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: 8
eval_batch_size: 8
seed: 42
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
63
1.8904
No log
2.0
126
1.7062
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2
