This model is a fine-tuned version of Qwen/Qwen3-32B on the /e/home/jusers/feuer1/jupiter/.cache/huggingface/hub/datasets--DCAgent--g1_min_episodes_e1_gpt_long_top8_glm47_traces/snapshots/9828cc7d5cb31c19ed7e6dead76bd24dc2d66262_thinking_preprocessed 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: 4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 48
gradient_accumulation_steps: 2
total_train_batch_size: 96
total_eval_batch_size: 384
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_steps: 0.1
num_epochs: 7.0

Training results

Framework versions

Transformers 5.8.1
Pytorch 2.11.0+cu130
Datasets 4.7.0
Tokenizers 0.22.2

laion/sft__g1_gptlong_top8_train_on_obs_fa3__40-0__Qwen3-32B

sft__g1_gptlong_top8_train_on_obs_fa3__40-0__Qwen3-32B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

laion/
sft__g1_gptlong_top8_train_on_obs_fa340-0Qwen3-32B

sft__g1_gptlong_top8_train_on_obs_fa340-0Qwen3-32B