Model_Finetunned / README.md
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metadata
license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
  - name: Model_Finetunned
    results: []

Model_Finetunned

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

  • Loss: 1.3209

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.7664 0.9796 12 2.5081
2.2918 1.9592 24 2.1012
1.9284 2.9388 36 1.8079
1.5278 4.0 49 1.5725
1.4118 4.9796 61 1.3976
1.2716 5.9592 73 1.3459
1.2207 6.9388 85 1.3274
1.0976 8.0 98 1.3224
1.1685 8.9796 110 1.3208
1.0552 9.7959 120 1.3209

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1