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gemma-7b-gemma

PEFT
Safetensors
trl
sft
Generated from Trainer
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gemma-7b-gemma / README.md
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
    results: []

gemma-7b-gemma

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: 7.0642

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: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 10

Training results

Training Loss Epoch Step Validation Loss
No log 0.03 2 12.7700
No log 0.05 4 11.1219
11.8975 0.08 6 9.5427
11.8975 0.1 8 8.2244
8.4649 0.13 10 7.0642

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.40.0.dev0
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2