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lab2_efficient – AI Model by christina-jm | AlphaNeural AI
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lab2_efficient
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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_efficient
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: 1.3003
Bleu: 43.5217
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: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
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
