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meta-nllb-600m-mt-en-twi-v2 – AI Model by Monsia | AlphaNeural AI

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Monsia/
meta-nllb-600m-mt-en-twi-v2

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text2text-generation

generated_from_trainer

facebook/nllb-200-distilled-600M

endpoints_compatible

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meta-nllb-600m-mt-en-twi-v2

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0785
eval_model_preparation_time: 0.0071
eval_rouge1: 0.9074
eval_bleu: 77.7922
eval_runtime: 195.9784
eval_samples_per_second: 8.817
eval_steps_per_second: 0.551
epoch: 13.0
step: 7800

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: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 60
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1