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mbart50_finetuned – AI Model by NhuNguyen0109 | AlphaNeural AI

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NhuNguyen0109/
mbart50_finetuned

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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mbart50_finetuned

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:

eval_loss: 0.1138
eval_runtime: 61.696
eval_samples_per_second: 8.104
eval_steps_per_second: 4.052
epoch: 2.0
step: 1126

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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use 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: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0