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hansken_human_hql_v3

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metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
  - hansh/hansken_hql_cot
library_name: peft
license: llama3.1
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: hansken_human_hql_v3
    results: []

hansken_human_hql_v3

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the hansh/hansken_hql_cot dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5017

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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
0.6267 1.0 469 0.6078
0.5094 2.0 938 0.5335
0.513 3.0 1407 0.5142
0.4306 4.0 1876 0.5044
0.4128 5.0 2345 0.5017
0.3924 6.0 2814 0.5093
0.3684 7.0 3283 0.5168
0.3403 8.0 3752 0.5338
0.311 9.0 4221 0.5566
0.2853 10.0 4690 0.5920

Framework versions

  • PEFT 0.12.0
  • Transformers 4.43.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1