output1

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the identity and the alpaca_en_demo datasets. It achieves the following results on the evaluation set:

  • Loss: 2.4530

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
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 1080

Training results

Training Loss Epoch Step Validation Loss
0.1411 4.0775 500 1.5800
0.0056 8.1549 1000 2.4301

Framework versions

  • Transformers 4.45.0
  • Pytorch 2.2.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.20.0
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