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b200-l3-ultra-conf-dpo-s42-v1-a2 – AI Model by W-61 | AlphaNeural AI
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W-61
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b200-l3-ultra-conf-dpo-s42-v1-a2
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transformers
safetensors
llama
text-generation
alignment-handbook
margin-dpo
generated_from_trainer
conversational
W-61/llama-3-8b-base-sft-ultrachat-8xh200
finetune
text-generation-inference
endpoints_compatible
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b200-l3-ultra-conf-dpo-s42-v1-a2
This model is a fine-tuned version of
W-61/llama-3-8b-base-sft-ultrachat-8xh200
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: 5e-07
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 16
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: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 477
Training results
Framework versions
Transformers 4.51.0
Pytorch 2.7.1+cu128
Datasets 2.21.0
Tokenizers 0.21.4
