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random_mOoyXWu95DuhhZvq
cutelemonlili/random_mOoyXWu95DuhhZvq
random_mOoyXWu95DuhhZvq is a text generation model from cutelemonlili. 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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3.6 GB on disk
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.safetensors3.6 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen2
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- 31af73d0
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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. -->
Distill_on_policy_rewrite_v2_DeepSeek-R1-Distill-Qwen-7B
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B on the Distill_on_policy_rewrite_v2_DeepSeek-R1-Distill-Qwen-7B dataset. It achieves the following results on the evaluation set:
- Loss: 0.2150
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- 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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1483 | 0.7353 | 500 | 0.2080 |
| 0.1502 | 1.4706 | 1000 | 0.2157 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- License
- other
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025