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Ellis-QA – AI Model by gsl22 | AlphaNeural AI
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gsl22
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Ellis-QA
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transformers
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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Ellis-QA
This model is a fine-tuned version of
deepset/roberta-base-squad2
on an unknown dataset.
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
250
0.4893
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
