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llama_summarizer_2

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metadata
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama_summarizer_2
    results: []

llama_summarizer_2

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8493

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
0.8703 1.0 394 1.8750
0.7032 2.0 788 1.8472
0.6907 3.0 1182 1.8444
0.7402 4.0 1576 1.8483
0.6788 5.0 1970 1.8493

Framework versions

  • PEFT 0.11.1
  • Transformers 4.44.0
  • Pytorch 2.3.1
  • Datasets 2.20.0
  • Tokenizers 0.19.1