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Transaminitis_L3_1000rate_1e8_SFT

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Transaminitis_L3_1000rate_1e8_SFT / README.md
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metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Transaminitis_L3_1000rate_1e8_SFT
    results: []

Transaminitis_L3_1000rate_1e8_SFT

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6870

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: 1e-08
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
2.684 0.2 25 2.6901
2.6773 0.4 50 2.6883
2.6627 0.6 75 2.6887
2.6575 0.8 100 2.6912
2.6624 1.0 125 2.6897
2.6725 1.2 150 2.6884
2.6661 1.4 175 2.6891
2.692 1.6 200 2.6879
2.6801 1.8 225 2.6855
2.6683 2.0 250 2.6867
2.6812 2.2 275 2.6857
2.6786 2.4 300 2.6862
2.6726 2.6 325 2.6863
2.6733 2.8 350 2.6870
2.664 3.0 375 2.6880
2.665 3.2 400 2.6871
2.671 3.4 425 2.6854
2.6788 3.6 450 2.6870
2.673 3.8 475 2.6880
2.648 4.0 500 2.6863
2.6661 4.2 525 2.6866
2.6707 4.4 550 2.6856
2.6799 4.6 575 2.6870
2.673 4.8 600 2.6874
2.6757 5.0 625 2.6856
2.6658 5.2 650 2.6874
2.6712 5.4 675 2.6869
2.674 5.6 700 2.6866
2.6804 5.8 725 2.6866
2.6755 6.0 750 2.6872
2.685 6.2 775 2.6870
2.6701 6.4 800 2.6870
2.6893 6.6 825 2.6870
2.6722 6.8 850 2.6870
2.6783 7.0 875 2.6870
2.6671 7.2 900 2.6870
2.6691 7.4 925 2.6870
2.6947 7.6 950 2.6870
2.6773 7.8 975 2.6870
2.6737 8.0 1000 2.6870

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.0.0+cu117
  • Datasets 2.19.1
  • Tokenizers 0.19.1