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:
- 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: 0.6931
- Rewards/chosen: 0.0
- Rewards/rejected: 0.0
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -291.9316
- Logps/chosen: -308.5898
- Logits/rejected: -2.1579
- Logits/chosen: -2.1562
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