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qwen2.5-3b-en-hdpo – AI Model by saiteja33 | AlphaNeural AI
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saiteja33
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qwen2.5-3b-en-hdpo
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
dpo
trl
conversational
other
text-generation-inference
endpoints_compatible
us
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polyalign
This model is a fine-tuned version of
/vast/users/muhammad.haris/Sathira/PolyAlign/saves/qwen25_3b_dist-sft-en
on the polyalign_hdpo_train 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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
num_epochs: 1.0
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.9.1+rocm6.3
Datasets 4.0.0
Tokenizers 0.22.2
