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opus-mt-en-ar – AI Model by FarahMohsenSamy1 | AlphaNeural AI
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FarahMohsenSamy1
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opus-mt-en-ar
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tensorboard
safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
us
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opus-mt-en-ar
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2157
Bleu: 1.5109
Gen Len: 17.8425
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.313
1.0
500
0.2232
0.0
18.334
0.2365
2.0
1000
0.2157
1.5109
17.8425
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
