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BART-finetuned-on-training-without-knowledge – AI Model by louistichelman | AlphaNeural AI
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BART-finetuned-on-training-without-knowledge
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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BART-finetuned-on-training-without-knowledge
This model is a fine-tuned version of
facebook/bart-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2844
Bleu: 2.829
Gen Len: 19.3589
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.6072
1.0
1679
2.3674
2.3478
19.8107
2.2177
2.0
3358
2.2844
2.829
19.3589
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.14.1
