BEE-spoke-data / zephyr-220m-sft-full

huggingface.co
Total runs: 346
24-hour runs: 0
7-day runs: -109
30-day runs: 84
Model's Last Updated: December 29 2025
text-generation

Introduction of zephyr-220m-sft-full

Model Details of zephyr-220m-sft-full

zephyr-220m-sft-full

This model is a fine-tuned version of BEE-spoke-data/smol_llama-220M-openhermes on the Ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6579
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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss
1.6447 1.0 1624 1.6579
Framework versions
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0

https://wandb.ai/amazingvince/huggingface/runs/5rffzk3x/workspace?workspace=user-amazingvince

Runs of BEE-spoke-data zephyr-220m-sft-full on huggingface.co

346
Total runs
0
24-hour runs
3
3-day runs
-109
7-day runs
84
30-day runs

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