4bc56bcc37
Model: Proactive-Interactive-R1/Proactive-Interactive-R1-SFT-7B Source: Original Platform
library_name, license, base_model, tags, model-index, datasets, language
| library_name | license | base_model | tags | model-index | datasets | language | ||||||||||
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| transformers | apache-2.0 | deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
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Proactive-Interactive-R1-SFT-7B
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B on the Reasoning-While-Asking-SFT-Dataset 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:
- max_samples: 4000
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use 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_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1