Himanshu singh
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metadata
license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-7b
datasets:
  - generator
model-index:
  - name: gemma-7b-gemma-finetune
    results: []

gemma-7b-gemma-finetune

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

  • Loss: 8.0358

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 10

Training results

Training Loss Epoch Step Validation Loss
No log 0.0 2 11.2435
No log 0.0 4 9.6105
9.5985 0.01 6 8.7049
9.5985 0.01 8 8.2248
8.0151 0.01 10 8.0358

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.40.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2