Edit model card

Llama3_AAID_mixed_train_deneme

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: 0.8216

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
0.7577 0.0219 20 0.8374
0.4704 0.0438 40 0.8379
0.4495 0.0656 60 0.8216
0.4326 0.0875 80 0.8272
0.421 0.1094 100 0.8494
0.406 0.1313 120 0.8483
0.3974 0.1531 140 0.8315
0.3989 0.1750 160 0.8574

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
2
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for Holmeister/Llama3_AAID_mixed_train_deneme

Adapter
(534)
this model