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bart-samsum-v1 – AI Model by gsl22 | AlphaNeural AI
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gsl22
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bart-samsum-v1
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
ainize/bart-base-cnn
finetune
apache-2.0
endpoints_compatible
us
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bart-samsum
This model is a fine-tuned version of
ainize/bart-base-cnn
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2203
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.2901
0.64
500
1.2203
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3
