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random_NP88OBdFmIS2E6lW
cutelemonlili/random_NP88OBdFmIS2E6lW
random_NP88OBdFmIS2E6lW 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
- 94ed726c
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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. -->
logic_speculative_32B_T_R1_32B_S_DeepScaleR-1.5B
This model is a fine-tuned version of agentica-org/DeepScaleR-1.5B-Preview on the logic_speculative_32B_T_R1_32B_S_DeepScaleR-1.5B dataset. It achieves the following results on the evaluation set:
- Loss: 0.2539
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 |
|---|---|---|---|
| 0.2382 | 0.5952 | 100 | 0.2488 |
| 0.2391 | 1.1905 | 200 | 0.2537 |
| 0.2466 | 1.7857 | 300 | 0.2540 |
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