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delphi-3e20-2.5Bparams-18.6Btokens-base-wc386k_lr1e5-sft – AI Model by laion | AlphaNeural AI
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delphi-3e20-2.5Bparams-18.6Btokens-base-wc386k_lr1e5-sft
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
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text-generation-inference
endpoints_compatible
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sft__wildchat_386k-delphi_warmup__delphi-3e20-2-5Bpara__delphi__delphi-3e18-p33m67-k
This model was trained from scratch on the wildchat_386k and the delphi_warmup datasets.
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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.2
