shawgpt-ft-rank15 / README.md
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metadata
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: shawgpt-ft-rank15
    results: []

shawgpt-ft-rank15

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3663

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: 42
  • 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: 2
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.5909 0.9231 3 3.9607
4.0305 1.8462 6 3.4190
3.4227 2.7692 9 2.9340
2.2008 4.0 13 2.4790
2.5483 4.9231 16 2.1770
2.1551 5.8462 19 1.9264
1.8321 6.7692 22 1.7147
1.2386 8.0 26 1.5355
1.4952 8.9231 29 1.4535
1.3923 9.8462 32 1.4129
1.3843 10.7692 35 1.3921
0.9917 12.0 39 1.3751
1.3332 12.9231 42 1.3687
1.1067 13.8462 45 1.3663

Framework versions

  • PEFT 0.13.2
  • Transformers 4.44.2
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.19.1