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Mistral-7B-Instruct-v0.2-GPTQ_retrained_IoV

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

Mistral-7B-Instruct-v0.2-GPTQ_retrained_IoV

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: 0.8239

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.1739 0.9412 4 3.4659
4.0196 1.8824 8 3.3864
3.2283 2.8235 12 3.2071
2.0147 4.0 17 2.9738
2.2299 4.9412 21 2.7751
2.0711 5.8824 25 2.6203
1.946 6.8235 29 2.3797
1.4262 8.0 34 2.0694
1.6468 8.9412 38 1.8468
1.5549 9.8824 42 1.5932
1.4661 10.8235 46 1.3819
1.1079 12.0 51 1.2555
1.3114 12.9412 55 1.1306
1.2436 13.8824 59 1.0515
1.1965 14.8235 63 0.9581
0.9269 16.0 68 0.9277
1.1262 16.9412 72 0.8709
1.1054 17.8824 76 0.8343
0.8664 18.8235 80 0.8239

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1