Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
short-ttt-step2 – AI Model by tttx | AlphaNeural AI
You can deploy this model and start earning money today!
tttx
/
short-ttt-step2
like
0
peft
safetensors
qwen2
alignment-handbook
trl
sft
generated_from_trainer
tttx/round2-training-set
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
adapter
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
short-ttt-step2
This model is a fine-tuned version of
tttx/short-5pc-train
on the tttx/round2-training-set 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
