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Bert2Bert_m_finetined_on_HunSum_1128 – AI Model by folflo | AlphaNeural AI

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folflo/
Bert2Bert_m_finetined_on_HunSum_1128

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encoder-decoder

text2text-generation

generated_from_trainer

endpoints_compatible

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Bert2Bert_m_finetined_on_HunSum_1128

This model is a fine-tuned version of on the arrow 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: 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: 2000
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.1
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.14.1