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fluent-capybara-27-replication

This model is a fine-tuned version of princeton-nlp/Sheared-LLaMA-1.3B on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2483

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: 2.5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 100
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss
2.7039 1.0 750 2.6816
2.4411 2.0 1500 2.4269
2.3104 3.0 2250 2.3173
2.2149 4.0 3001 2.2593
2.0649 5.0 3750 2.2483

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.1
  • Pytorch 2.1.2+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.1
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