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check – AI Model by alit2204 | AlphaNeural AI
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
samsum
facebook/bart-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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This model is a fine-tuned version of
facebook/bart-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.4941
Rouge1: 49.6849
Rouge2: 25.8131
Rougel: 42.137
Rougelsum: 45.7985
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: 5.6e-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
1.8403
1.0
1842
1.4941
49.6849
25.8131
42.137
45.7985
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
