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bart-base-re-attention-mini-seq-512-bosch – AI Model by GuysTrans | AlphaNeural AI
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bart-base-re-attention-mini-seq-512-bosch
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base-re-attention-mini-seq-512-bosch
This model is a fine-tuned version of
facebook/bart-base
on the None dataset.
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
Bleu-1
Bleu-2
Bleu-3
Bleu-4
No log
1.0
125
3.1814
15.2455
5.6414
12.0022
14.6328
20.0
0.7441
0.4793
0.3625
0.2987
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
