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RuBarT3.1.0-vLE – AI Model by damienliccia | AlphaNeural AI

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damienliccia/
RuBarT3.1.0-vLE

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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RuBarT3.1.0-vLE

This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6230
Rouge1: 62.5
Rouge2: 41.95
Rougel: 56.16
Rougelsum: 56.17

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.20.3