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roberta-base_mod_squad – AI Model by damapika | AlphaNeural AI
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damapika
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roberta-base_mod_squad
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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roberta-base_mod_squad
This model is a fine-tuned version of
roberta-base
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.0100
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: 8
eval_batch_size: 8
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
0.9367
1.0
10950
0.9221
0.6845
2.0
21900
0.9035
0.4838
3.0
32850
1.0100
Framework versions
Transformers 4.29.2
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
