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relfreq_n1000_nb150k_160m_ep5_lr1e-4_seed42 – AI Model by qing-yao | AlphaNeural AI
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relfreq_n1000_nb150k_160m_ep5_lr1e-4_seed42
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transformers
safetensors
gpt_neox
text-generation
generated_from_trainer
EleutherAI/pythia-160m
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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relfreq_n1000_nb150k_160m_ep5_lr1e-4_seed42
This model is a fine-tuned version of
EleutherAI/pythia-160m
on an unknown dataset.
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 5.0
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
