1.5 KiB
1.5 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | Qwen/Qwen3-8B |
|
|
SWE-Lego-Qwen3-8B-posttrain
This model is a fine-tuned version of /mmu-vcg-hdd/multimodal/models/Qwen3-8B-fim-v2v3pt on the swe_lego_real_data_resolved_trajectories and the swe_lego_synthetic_data_resolved_trajectories datasets.
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- total_eval_batch_size: 48
- optimizer: Use OptimizerNames.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_steps: 0.1
- num_epochs: 4.0
Training results
Framework versions
- Transformers 5.0.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2