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bart_lfqa – AI Model by Shubham09 | AlphaNeural AI
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Shubham09
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bart_lfqa
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transformers
pytorch
tensorboard
bart
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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bart_lfqa
This model is a fine-tuned version of
vblagoje/bart_lfqa
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.5198
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
7
4.8783
No log
2.0
14
5.2473
No log
3.0
21
5.5198
Framework versions
Transformers 4.27.4
Pytorch 1.13.1+cu117
Datasets 2.11.0
Tokenizers 0.13.3
