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bart-base-finetuned-xsum – AI Model by GuysTrans | AlphaNeural AI
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bart-base-finetuned-xsum
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transformers
pytorch
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-xsum
This model is a fine-tuned version of
facebook/bart-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1690
Rouge1: 16.5953
Rouge2: 12.3097
Rougel: 15.9007
Rougelsum: 16.4053
Bleu-1: 0.0062
Bleu-2: 0.0057
Bleu-3: 0.0054
Bleu-4: 0.0052
Gen Len: 20.0
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: 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
Bleu-1
Bleu-2
Bleu-3
Bleu-4
Gen Len
2.3294
1.0
28600
1.1690
16.5953
12.3097
15.9007
16.4053
0.0062
0.0057
0.0054
0.0052
20.0
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
