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QA_for_SO_model – AI Model by Raylei231 | AlphaNeural AI
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QA_for_SO_model
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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QA_for_SO_model
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0058
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: 512
eval_batch_size: 512
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
0.0058
1.0
1037
0.0059
0.0056
2.0
2074
0.0060
0.0059
3.0
3111
0.0058
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
