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BART-large-ET-Synthetic – AI Model by Koshti10 | AlphaNeural AI

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Koshti10/
BART-large-ET-Synthetic

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0

text2text-generation

generated_from_trainer

facebook/bart-large

endpoints_compatible

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results

This model is a fine-tuned version of facebook/bart-large on the None 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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
label_smoothing_factor: 0.1

Training results

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3