chansung's picture
End of training
3efc8a5 verified
metadata
license: gemma
library_name: peft
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-7b
datasets:
  - llama-duo/synth_summarize_dataset
model-index:
  - name: gemma7b-summarize-claude3sonnet-30k
    results: []

Visualize in Weights & Biases

gemma7b-summarize-claude3sonnet-30k

This model is a fine-tuned version of google/gemma-7b on the llama-duo/synth_summarize_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0044

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: 4
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • total_eval_batch_size: 4
  • 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
1.0072 1.0 148 2.2672
0.8705 2.0 296 2.1745
0.7957 3.0 444 2.1914
0.731 4.0 592 2.2511
0.634 5.0 740 2.3409
0.5418 6.0 888 2.4841
0.4578 7.0 1036 2.6822
0.3886 8.0 1184 2.8497
0.3611 9.0 1332 2.9868
0.3501 10.0 1480 3.0044

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1