metadata

library_name: transformers
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - HuggingFaceH4/hh-rlhf-h4
model-index:
  - name: tinyllama-1.1b-chat-v1.0-hh-dpo
    results: []

tinyllama-1.1b-chat-v1.0-hh-dpo

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the HuggingFaceH4/hh-rlhf-h4 dataset. It achieves the following results on the evaluation set:

Loss: 0.6732
Rewards/chosen: -0.5129
Rewards/rejected: -0.5655
Rewards/accuracies: 0.5578
Rewards/margins: 0.0526
Logps/rejected: -214.5289
Logps/chosen: -211.9843
Logits/rejected: -2.4006
Logits/chosen: -2.4020

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: 5e-07
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.44.1
Pytorch 2.1.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1