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PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-FT-Unsloth_Mistral7B

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3841

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 3407
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.356 0.1078 30 1.0690
1.0215 0.2156 60 0.9446
0.9024 0.3235 90 0.8369
0.8971 0.4313 120 0.7261
0.7858 0.5391 150 0.6317
0.7608 0.6469 180 0.5461
0.6772 0.7547 210 0.4775
0.6375 0.8625 240 0.4176
0.6158 0.9704 270 0.3841

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.3.0+cu118
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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