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bart_samsum – AI Model by chamdentimem | AlphaNeural AI
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bart_samsum
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-xsum
finetune
mit
endpoints_compatible
us
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bart_samsum
This model is a fine-tuned version of
facebook/bart-large-xsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6585
Rouge1: 51.0558
Rouge2: 25.6433
Rougel: 34.149
Rougelsum: 44.0828
Gen Len: 62.0
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.6315
1.0
1841
2.6585
51.0558
25.6433
34.149
44.0828
62.0
Framework versions
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
