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g1_top8_85k_plus_gptlong_swegym_3160_32b
DCAgent2/g1_top8_85k_plus_gptlong_swegym_3160_32b
g1_top8_85k_plus_gptlong_swegym_3160_32b is a text generation model from DCAgent2. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- May 5, 2026
- Updated
- May 5, 2026
- SHA
- 636a1148
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
sft_g1_top8_85k_plus_gptlong_swegym_3160_32b__Qwen3-32B
This model is a fine-tuned version of Qwen/Qwen3-32B on the /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--g1_top8_85k_plus_gptlong_swegym_3160_glm47_traces/snapshots/e4f6da0fe64887fe12a8d7fd9a000fd3c66cd556_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: 96
- total_train_batch_size: 96
- total_eval_batch_size: 768
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7.0
Training results
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.1+cu130
- Datasets 4.7.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- May 5, 2026
- Updated
- May 5, 2026