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p10-ttt-021125-overnight-final-run-step1-rerun – AI Model by tttx | AlphaNeural AI

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tttx/
p10-ttt-021125-overnight-final-run-step1-rerun

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alignment-handbook

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tttx/p10-ttt-021125-overnight-final-run-step1-collated

deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

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p10-ttt-021125-scratch-final-run-step1-rerun

This model is a fine-tuned version of tttx/25k_sft_5ep_021025 on the tttx/p10-ttt-021125-overnight-final-run-step1-collated 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-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Use 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
num_epochs: 2

Training results

Framework versions

PEFT 0.13.2
Transformers 4.47.0.dev0
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3