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diet-model – AI Model by yaraabdalaziz | AlphaNeural AI
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yaraabdalaziz
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diet-model
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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diet-model
This model is a fine-tuned version of
distilbert/distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2248
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
285
0.2526
0.4978
2.0
570
0.2299
0.4978
3.0
855
0.2248
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
