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lab1_random – AI Model by wei0403 | AlphaNeural AI
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wei0403
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lab1_random
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safetensors
marian
generated_from_trainer
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
us
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lab1_random
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.3882
Bleu: 0.5227
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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
6.2249
0.1574
1000
6.1517
0.1302
5.7954
0.3147
2000
5.7520
0.2788
5.6211
0.4721
3000
5.5362
0.3573
5.555
0.6294
4000
5.4283
0.4358
5.5027
0.7868
5000
5.3882
0.5097
Framework versions
Transformers 4.41.2
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.19.1
