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Simple_Translation-model-for-GPT-v5 – AI Model by Dhahlan2000 | AlphaNeural AI
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Dhahlan2000
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Simple_Translation-model-for-GPT-v5
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
Dhahlan2000/Simple_Translation-model-for-GPT-v4
finetune
text-generation-inference
endpoints_compatible
us
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Simple_Translation-model-for-GPT-v5
This model is a fine-tuned version of
Dhahlan2000/Simple_Translation-model-for-GPT-v4
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4102
Bleu: 34.7472
Gen Len: 15.3646
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
0.6105
1.0
4571
0.4355
33.6572
15.3556
0.5775
2.0
9142
0.4102
34.7472
15.3646
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
