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Simple_Translation-model-for-GPT-v2 – AI Model by Dhahlan2000 | AlphaNeural AI
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Simple_Translation-model-for-GPT-v2
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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Simple_Translation-model-for-GPT-v2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1430
Bleu: 47.2655
Gen Len: 15.2769
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
0.2158
1.0
4571
0.1551
46.2737
15.265
0.2101
2.0
9142
0.1430
47.2655
15.2769
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
