metadata
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-dpo-full-ultrabin-reward-scale-05
results: []
zephyr-7b-dpo-full-ultrabin-reward-scale-05
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.5419
- Rewards/chosen: -2.0652
- Rewards/rejected: -3.5533
- Rewards/accuracies: 0.7812
- Rewards/margins: 1.4880
- Logps/rejected: -617.9895
- Logps/chosen: -469.1545
- Logits/rejected: 3.0313
- Logits/chosen: 2.1931
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: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- 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
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6746 | 0.1046 | 50 | 0.6514 | 0.0215 | -0.0844 | 0.6953 | 0.1059 | -271.1068 | -260.4849 | -2.5751 | -2.6121 |
| 0.5801 | 0.2092 | 100 | 0.5963 | -1.2413 | -2.0024 | 0.6914 | 0.7611 | -462.9021 | -386.7607 | 0.8478 | 0.5614 |
| 0.561 | 0.3138 | 150 | 0.5612 | -1.3516 | -2.3053 | 0.7422 | 0.9537 | -493.1910 | -397.7852 | 2.1227 | 1.6750 |
| 0.552 | 0.4184 | 200 | 0.5634 | -1.7910 | -3.0147 | 0.7539 | 1.2237 | -564.1274 | -441.7259 | 2.6771 | 2.0183 |
| 0.5367 | 0.5230 | 250 | 0.5404 | -1.6069 | -2.8715 | 0.7656 | 1.2646 | -549.8127 | -423.3247 | 2.8098 | 2.1736 |
| 0.5231 | 0.6276 | 300 | 0.5511 | -1.8243 | -3.2523 | 0.7656 | 1.4280 | -587.8877 | -445.0558 | 2.9864 | 2.2075 |
| 0.5092 | 0.7322 | 350 | 0.5402 | -1.9840 | -3.4024 | 0.7734 | 1.4184 | -602.9061 | -461.0307 | 2.8834 | 2.0946 |
| 0.5231 | 0.8368 | 400 | 0.5417 | -2.0950 | -3.5645 | 0.7812 | 1.4695 | -619.1116 | -472.1271 | 3.0542 | 2.2365 |
| 0.5232 | 0.9414 | 450 | 0.5419 | -2.0657 | -3.5528 | 0.7812 | 1.4871 | -617.9430 | -469.2008 | 3.0322 | 2.1926 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1