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deberta-base-finetuned-squad – AI Model by srivhash | AlphaNeural AI
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srivhash
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deberta-base-finetuned-squad
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transformers
tensorboard
safetensors
deberta
question-answering
generated_from_trainer
microsoft/deberta-base
finetune
mit
endpoints_compatible
us
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deberta-base-finetuned-squad
This model is a fine-tuned version of
microsoft/deberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5654
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: 1
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.0567
1.0
5064
2.0623
1.2343
2.0
10128
2.1410
0.7451
3.0
15192
2.5654
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
