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974d860b-ca15-4c5f-8553-b9e13ecdcb69

This model is a fine-tuned version of unsloth/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3223

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: 0.000201
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0004 1 2.6280
1.373 0.0184 50 1.5826
1.383 0.0368 100 1.4930
1.3078 0.0552 150 1.4785
1.2819 0.0736 200 1.4645
1.2472 0.0920 250 1.4157
1.2001 0.1104 300 1.3858
1.2399 0.1287 350 1.3592
1.2482 0.1471 400 1.3329
1.2341 0.1655 450 1.3241
1.2471 0.1839 500 1.3223

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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