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test-translation – AI Model by sophiebui | AlphaNeural AI
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test-translation
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/m2m100_418M
finetune
mit
endpoints_compatible
us
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test-translation
This model is a fine-tuned version of
facebook/m2m100_418M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3657
Bleu: 32.2114
Gen Len: 13.3333
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
1
1.4545
23.3073
14.0
No log
2.0
2
1.3870
32.2114
13.3333
No log
3.0
3
1.3657
32.2114
13.3333
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
