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bart-qanda – AI Model by genejalston | AlphaNeural AI
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genejalston
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bart-qanda
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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bart-qanda
This model is a fine-tuned version of
facebook/bart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.9625
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.2199
1.0
2500
1.8120
0.1398
2.0
5000
2.2787
0.0713
3.0
7500
3.9625
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
