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ArabicGenrationV3 – AI Model by xfoxxe | AlphaNeural AI | AlphaNeural AI
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ArabicGenrationV3
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
aubmindlab/aragpt2-base
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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ArabicGenrationV3
This model is a fine-tuned version of
aubmindlab/aragpt2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.0850
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.8061
0.9996
2356
4.1950
4.7875
1.9997
4713
4.1114
4.7615
2.9989
7068
4.0850
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
