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neox_125m_storytelling – AI Model by jtatman | AlphaNeural AI
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neox_125m_storytelling
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transformers
safetensors
gpt_neo
text-generation
trl
sft
generated_from_trainer
EleutherAI/gpt-neo-125m
finetune
mit
autotrain_compatible
endpoints_compatible
us
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neox_125m_storytelling
This model is a fine-tuned version of
EleutherAI/gpt-neo-125m
on the None 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: 4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 8675309
distributed_type: multi-GPU
num_devices: 7
gradient_accumulation_steps: 4
total_train_batch_size: 28
total_eval_batch_size: 56
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 5
num_epochs: 1
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1