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dpo-baseline – AI Model by ZefanW | AlphaNeural AI
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dpo-baseline
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transformers
safetensors
llama
text-generation
trl
generated_from_trainer
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dpo-baseline
This model was trained from scratch 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: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.19.1
