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bible-llm-refined – AI Model by dogedevx | AlphaNeural AI
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bible-llm-refined
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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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bible-llm-refined
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6208
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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_steps: 51
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.5398
2.3529
200
2.6228
Framework versions
Transformers 4.57.6
Pytorch 2.9.1+cpu
Datasets 4.5.0
Tokenizers 0.22.2
