metadata
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- updated
- original
model-index:
- name: nash_dpo_merge_iter_6
results: []
nash_dpo_merge_iter_6
This model is a fine-tuned version of YYYYYYibo/nash_dpo_merge_iter_5 on the updated and the original datasets. It achieves the following results on the evaluation set:
- Loss: 0.5366
- Rewards/chosen: -0.8030
- Rewards/rejected: -1.4875
- Rewards/accuracies: 0.7320
- Rewards/margins: 0.6845
- Logps/rejected: -415.7152
- Logps/chosen: -367.6444
- Logits/rejected: -0.6068
- Logits/chosen: -1.1801
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.515 | 0.49 | 100 | 0.5449 | -0.7799 | -1.4614 | 0.7160 | 0.6816 | -413.1093 | -365.3295 | -0.5798 | -1.2092 |
| 0.4925 | 0.98 | 200 | 0.5366 | -0.8030 | -1.4875 | 0.7320 | 0.6845 | -415.7152 | -367.6444 | -0.6068 | -1.1801 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2