README.md

metadata

library_name: transformers
license: llama3.2
base_model: >-
  Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25
tags:
  - generated_from_trainer
datasets:
  - openwebtext
model-index:
  - name: >-
      Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv
    results: []

Grogros-dmWM-Llama-3.2-1B-Instruct-HarmData-Al4-OWT-d4-a0.25-learnability_adv

This model is a fine-tuned version of Grogros/dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-HarmData-AlpacaGPT4-OpenWebText-d4-a0.25 on the openwebtext dataset.

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 2500

Training results

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1.post303
• Datasets 3.2.0
• Tokenizers 0.20.4