gemma2b-closedqa-gpt4o-100k

This model is a fine-tuned version of google/gemma-2b on the llama-duo/synth_closed_qa_dataset_dedup dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6811

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: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 3
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 48
  • total_eval_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
1.0659 0.9983 287 2.2446
0.9881 2.0 575 2.2538
0.9259 2.9983 862 2.2906
0.8772 4.0 1150 2.3648
0.8436 4.9983 1437 2.4373
0.7905 6.0 1725 2.5194
0.757 6.9983 2012 2.6101
0.7274 8.0 2300 2.6532
0.721 8.9983 2587 2.6792
0.7142 9.9826 2870 2.6811

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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