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3k-forcing-p301-precondition – AI Model by tttx | AlphaNeural AI
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tttx
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3k-forcing-p301-precondition
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peft
safetensors
qwen2
alignment-handbook
trl
sft
generated_from_trainer
tttx/p301-5pc-initial-generation-collated
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
adapter
mit
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3k-forcing-p301-precondition
This model is a fine-tuned version of
tttx/sft-32b-020925-19k-5ep
on the tttx/p301-5pc-initial-generation-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: 8e-05
train_batch_size: 1
eval_batch_size: 1
seed: 100
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
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
