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MRC_v2 – AI Model by Matheusmatos2916 | AlphaNeural AI
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Matheusmatos2916
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MRC_v2
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transformers
pytorch
roberta
question-answering
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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MRC_v2
This model is a fine-tuned version of
deepset/roberta-base-squad2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.2418
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
150
6.7321
No log
2.0
300
7.2418
Framework versions
Transformers 4.32.1
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.13.3
