metadata
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-maximal
results: []
zephyr-7b-dpo-maximal
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3380
- Rewards/chosen: -0.1339
- Rewards/rejected: -3.0976
- Rewards/accuracies: 0.8790
- Rewards/margins: 2.9637
- Logps/rejected: -275.9525
- Logps/chosen: -285.9466
- Logits/rejected: -2.1375
- Logits/chosen: -2.2908
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3619 | 0.26 | 500 | 0.3822 | 0.1843 | -2.0970 | 0.8651 | 2.2812 | -265.9466 | -282.7652 | -2.1994 | -2.3618 |
| 0.396 | 0.52 | 1000 | 0.3747 | -0.7559 | -3.2293 | 0.8730 | 2.4733 | -277.2696 | -292.1672 | -2.1335 | -2.2927 |
| 0.3618 | 0.78 | 1500 | 0.3452 | -0.4962 | -3.2836 | 0.875 | 2.7874 | -277.8134 | -289.5698 | -2.1794 | -2.3280 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0