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1309280c-1a6a-41d9-a5f6-c1bcd85fa1ad

This model is a fine-tuned version of Intel/neural-chat-7b-v3-3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5017

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: 0.00010018
  • 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
5.8587 0.0009 1 4.7300
3.1601 0.0441 50 2.0240
2.9039 0.0882 100 1.7443
3.1175 0.1323 150 1.6718
2.9649 0.1764 200 1.5017

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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