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roberta-vmw-mrqa-old-but-not-that-old – AI Model by enriquesaou | AlphaNeural AI
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enriquesaou
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roberta-vmw-mrqa-old-but-not-that-old
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transformers
safetensors
roberta
question-answering
generated_from_trainer
VMware/roberta-base-mrqa
finetune
apache-2.0
endpoints_compatible
us
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roberta-vmw-mrqa
This model is a fine-tuned version of
VMware/roberta-base-mrqa
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7997
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: 0.0002
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
2.2285
1.0
1399
1.8940
1.521
2.0
2798
1.6821
1.0055
3.0
4197
1.7997
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
