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llama-3-8b-hf-ft-chat-lora_1

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

  • Loss: 2.9295

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.3
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss
3.8283 0.9851 33 3.4186
2.711 2.0 67 2.5398
2.2647 2.9851 100 2.3353
2.0786 4.0 134 2.5266
1.9782 4.9851 167 2.9430
1.9104 6.0 201 2.9388
1.9121 6.9851 234 2.9504
1.9022 7.8806 264 2.9295

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.0
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.1
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