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amBART_1000 – AI Model by Samuael | AlphaNeural AI
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Samuael
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amBART_1000
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
Samuael/amBART_1000
finetune
endpoints_compatible
us
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amBART_1000
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Samuael/amBART_1000
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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: 0.02
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
