CodeLLAMA3-8BI-APPS / README.md
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metadata
license: other
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
  - name: LLAMA3-8BI-APPS
    results: []
library_name: peft

LLAMA3-8BI-APPS

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: 1.1490

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: 5e-06
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • 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
0.9027 0.1 100 0.9320
0.8632 0.2 200 0.9143
0.8572 0.3 300 1.0150
0.937 0.4 400 1.0545
1.0336 0.5 500 1.1029
1.0056 0.6 600 1.1267
1.0125 0.7 700 1.1307
1.028 0.8 800 1.1398
1.0692 0.9 900 1.1482
1.0361 1.0 1000 1.1490

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2