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model_small100-finetuned – AI Model by Miguelcj1 | AlphaNeural AI
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Miguelcj1
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model_small100-finetuned
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
alirezamsh/small100
finetune
mit
endpoints_compatible
us
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model_small100-finetuned
This model is a fine-tuned version of
alirezamsh/small100
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9770
Bleu: 41.7687
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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.15.2
