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BART-RSICD – AI Model by swadhindas324 | AlphaNeural AI
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BART-RSICD
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transformers
safetensors
bart
text-generation
generated_from_trainer
endpoints_compatible
us
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Bart-RSICD
This model is a fine-tuned version of
on an unknown dataset.
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: 0.0001
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 32
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.12.1
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
