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masked-star-star-qwen-32b-base-final-step1
tttx/masked-star-star-qwen-32b-base-final-step1
masked-star-star-qwen-32b-base-final-step1 is a machine learning model from tttx. 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
- Model type
- qwen2
- Access
- Public
- Created
- Feb 3, 2025
- Updated
- Feb 3, 2025
- SHA
- 7be9343b
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. -->
masked-star-star-qwen-32b-base-final-step1
This model is a fine-tuned version of tttx/sft_r1_32b on the tttx/star-qwen-32b-base-final-step1-trajectories dataset. It achieves the following results on the evaluation set:
- Loss: 0.3066
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use 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_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2879 | 1.0 | 26 | 0.3209 |
| 0.2658 | 2.0 | 52 | 0.3066 |
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- Type
- qwen2
- License
- mit
- Created
- Feb 3, 2025
- Updated
- Feb 3, 2025