qwen1.5-0.5b-sft / README.md
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metadata
license: other
base_model: Qwen/Qwen1.5-0.5B
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - HuggingFaceH4/deita-6k-v0-sft
model-index:
  - name: qwen-1.5-0.5b-sft-v1.0
    results: []

qwen-1.5-0.5b-sft-v1.0

This model is a fine-tuned version of Qwen/Qwen1.5-0.5B on the HuggingFaceH4/deita-6k-v0-sft dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2566

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: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.3015 1.0 237 1.2711
1.2352 2.0 474 1.2562
1.1719 3.0 711 1.2566

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1