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newspaper-qa – AI Model by vpr30 | AlphaNeural AI
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vpr30
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newspaper-qa
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transformers
tensorboard
safetensors
roberta
question-answering
generated_from_trainer
deepset/tinyroberta-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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newspaper-qa
This model is a fine-tuned version of
deepset/tinyroberta-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7961
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: 3e-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
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
345
0.9964
0.0292
2.0
690
0.7626
0.0163
3.0
1035
0.7961
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
