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bart-large-cnn-finetuned-bert-school-questions – AI Model by Clyine1 | AlphaNeural AI
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Clyine1
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bart-large-cnn-finetuned-bert-school-questions
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transformers
safetensors
bart
text-generation
generated_from_trainer
facebook/bart-large-cnn
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bart-large-cnn-finetuned-bert-school-questions
This model is a fine-tuned version of
facebook/bart-large-cnn
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.2978
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: 32
eval_batch_size: 32
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
10.54
1.0
9
6.4838
6.8729
2.0
18
5.6820
6.1114
3.0
27
5.2978
Framework versions
Transformers 4.36.1
Pytorch 2.1.2+cpu
Datasets 2.15.0
Tokenizers 0.15.0
