results

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on a text dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0422

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.1222 0.2603 500 0.1168
0.0751 0.5206 1000 0.0764
0.0692 0.7808 1500 0.0636
0.043 1.0411 2000 0.0551
0.0439 1.3014 2500 0.0497
0.0411 1.5617 3000 0.0465
0.0373 1.8220 3500 0.0422

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1
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