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multi-gpu-14b
c-mohanraj/multi-gpu-14b
multi-gpu-14b is a machine learning model from c-mohanraj. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025
- SHA
- f38ab64b
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. -->
multi-gpu-14b
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1943
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.23 | 0.7529 | 200 | 0.2271 |
| 0.1856 | 1.5045 | 400 | 0.2025 |
| 0.1521 | 2.2560 | 600 | 0.1943 |
Framework versions
- PEFT 0.14.0
- Transformers 4.56.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.22.0
- Library
- peft
- License
- mit
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025