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Qwen2.5-14B-Instruct-star-nl-3Rounds-iter-3 – AI Model by Lichang-Chen | AlphaNeural AI
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Lichang-Chen
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Qwen2.5-14B-Instruct-star-nl-3Rounds-iter-3
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transformers
tensorboard
safetensors
qwen2
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
Qwen/Qwen2.5-14B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen2.5-14B-Instruct-star-nl-3Rounds-iter-3
This model is a fine-tuned version of
Qwen/Qwen2.5-14B-Instruct
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-06
train_batch_size: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 32
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
num_epochs: 5
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.4.0+cu121
Datasets 3.2.0
Tokenizers 0.21.0
