cutelemonlili / random_xoPG8CvJEE66Bcst

huggingface.co
Total runs: 14
24-hour runs: 0
7-day runs: -2
30-day runs: 6
Model's Last Updated: April 08 2025
text-generation

Introduction of random_xoPG8CvJEE66Bcst

Model Details of random_xoPG8CvJEE66Bcst

Distill_speculative_R1-7B

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B on the Distill_speculative_R1-7B dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2968
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
1.0559 0.1667 20 0.3010
0.8954 0.3333 40 0.2973
1.3178 0.5 60 0.2966
0.9733 0.6667 80 0.2962
0.7796 0.8333 100 0.2956
0.9924 1.0 120 0.2949
0.872 1.1667 140 0.2968
1.017 1.3333 160 0.2965
0.9239 1.5 180 0.2968
1.0352 1.6667 200 0.2969
0.8494 1.8333 220 0.2968
0.8062 2.0 240 0.2968
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.6.0+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of cutelemonlili random_xoPG8CvJEE66Bcst on huggingface.co

14
Total runs
0
24-hour runs
-1
3-day runs
-2
7-day runs
6
30-day runs

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cutelemonlili
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