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roberta-mrqa – AI Model by enriquesaou | AlphaNeural AI
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roberta-mrqa
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transformers
safetensors
roberta
question-answering
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
endpoints_compatible
us
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roberta-mrqa
This model is a fine-tuned version of
FacebookAI/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6199
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: 20
eval_batch_size: 20
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
1.7637
1.0
1399
1.5842
1.3627
2.0
2798
1.6059
1.1236
3.0
4197
1.6199
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
