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lab2_8bit_adam – AI Model by rdj-034 | AlphaNeural AI
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rdj-034
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lab2_8bit_adam
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
kde4
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
model-index
endpoints_compatible
us
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lab2_8bit_adam
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on the kde4 dataset. It achieves the following results on the evaluation set:
Loss: 1.3545
Bleu: 44.1420
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: 128
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
