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wiki_asp-event_4022_bart-base – AI Model by baek26 | AlphaNeural AI
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baek26
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wiki_asp-event_4022_bart-base
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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wiki_asp-event_4022_bart-base
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9871
Rouge1: 0.1056
Rouge2: 0.0337
Rougel: 0.087
Rougelsum: 0.0872
Gen Len: 16.798
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
4.94
500
3.0678
0.1015
0.0303
0.0832
0.0835
16.5031
No log
9.88
1000
2.9871
0.1056
0.0337
0.087
0.0872
16.798
Framework versions
Transformers 4.38.2
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2
