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bart-with-vocab-noise-data – AI Model by gayanin | AlphaNeural AI
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gayanin
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bart-with-vocab-noise-data
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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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bart-with-noise-data
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: 0.2749
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5397
0.87
500
0.3145
0.2586
1.73
1000
0.2909
0.2764
2.6
1500
0.2749
Framework versions
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.17.0
Tokenizers 0.15.1
