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fine-tuned-gpt2-medium-arabic-poetry – AI Model by Raido | AlphaNeural AI
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fine-tuned-gpt2-medium-arabic-poetry
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
elgeish/gpt2-medium-arabic-poetry
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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fine-tuned-gpt2-medium-arabic-poetry
This model is a fine-tuned version of
elgeish/gpt2-medium-arabic-poetry
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.2985
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
7.3393
No log
2.0
2
7.3781
No log
3.0
3
7.2985
Framework versions
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
