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
  - alignment-handbook
  - generated_from_trainer
datasets:
  - data/ui_math_ref
  - data/ui_coding_ref
model-index:
  - name: tinyllama-1.1b-chat-v1.0-ui-math-coding-group-dpo
    results: []

tinyllama-1.1b-chat-v1.0-ui-math-coding-group-dpo

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the data/ui_math_ref and the data/ui_coding_ref datasets. It achieves the following results on the evaluation set:

Loss: 0.4193
Rewards/chosen: -0.6057
Rewards/rejected: -1.6972
Rewards/accuracies: 0.7188
Rewards/margins: 1.0915
Logps/rejected: -538.1440
Logps/chosen: -448.5587
Logits/rejected: -2.6494
Logits/chosen: -2.6509

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: 8
gradient_accumulation_steps: 8
total_train_batch_size: 1024
total_eval_batch_size: 128
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