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Roberta_vi_MLQA – AI Model by FredDYyy | AlphaNeural AI
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FredDYyy
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Roberta_vi_MLQA
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
mlqa
mit
endpoints_compatible
us
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Roberta_vi_MLQA
This model is a fine-tuned version of
roberta-base
on the mlqa dataset. It achieves the following results on the evaluation set:
Loss: 2.3695
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
2.5026
1.0
1928
2.5248
2.1866
2.0
3856
2.3501
1.9707
3.0
5784
2.3695
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
