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checkpoints – AI Model by ciorant | AlphaNeural AI

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ciorant/
checkpoints

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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checkpoints

This model is a fine-tuned version of facebook/bart-base 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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Framework versions

Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4