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Llama3_AAID_mixed_train

PEFT
Safetensors
llama-factory
lora
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Llama3_AAID_mixed_train / README.md
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metadata
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
  - name: Llama3_AAID_mixed_train
    results: []

Llama3_AAID_mixed_train

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

  • Loss: 0.8485

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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
0.4516 0.2188 200 0.8485
0.3476 0.4375 400 0.9426
0.242 0.6563 600 1.1041
0.1079 0.8750 800 1.2782

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1