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distilgpt2-finetuned-eli5 – AI Model by V1G1L | AlphaNeural AI
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distilgpt2-finetuned-eli5
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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distilgpt2-finetuned-eli5
This model is a fine-tuned version of
distilbert/distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.6464
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.7702
1.0
423
3.6792
3.7318
2.0
846
3.6573
3.7
3.0
1269
3.6481
3.672
4.0
1692
3.6464
Framework versions
Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2
