README.md

metadata

license: gemma
base_model: google/gemma-2-9b-it
tags:
  - easylm
  - alignment-handbook
  - trl
  - reward-trainer
  - generated_from_trainer
datasets:
  - helpsteer-rm
metrics:
  - accuracy
model-index:
  - name: easylm-helpsteer-rm-gemma-2-9b-it
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: helpsteer-rm
          type: helpsteer-rm
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.6473988439306358

easylm-helpsteer-rm-gemma-2-9b-it

This model is a fine-tuned version of google/gemma-2-9b-it on the helpsteer-rm dataset. It achieves the following results on the evaluation set:

• Loss: 0.6336
• Accuracy: 0.6474

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 8
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1

Training results

Framework versions

• Transformers 4.43.3
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1