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bart-finetuned-eli5_precomputed_best – AI Model by adamjweintraut | AlphaNeural AI
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bart-finetuned-eli5_precomputed_best
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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bart-finetuned-eli5_precomputed_best
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: 1.8045
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
2.0094
0.4
500
1.8642
1.808
0.8
1000
1.8719
1.7532
1.2
1500
1.8353
1.7879
1.6
2000
1.8151
1.7312
2.0
2500
1.8045
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
