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fe954987-35ff-4351-9f32-c11aca9eb081

This model is a fine-tuned version of tiiuae/falcon-7b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8669

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: 0.0001007
  • 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=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 200

Training results

Training Loss Epoch Step Validation Loss
4.1102 0.0001 1 2.5862
2.9572 0.0042 50 2.2165
3.4976 0.0084 100 2.0390
3.4945 0.0126 150 1.9016
3.4449 0.0169 200 1.8669

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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