metadata
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
- name: zephyr-7b-dpo-lora-pubmedqa-ultrafeedback-mix
results: []
zephyr-7b-dpo-lora-pubmedqa-ultrafeedback-mix
This model is a fine-tuned version of EllieS/zephyr-7b-dpo-lora-pubmedqa-mix2 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.5344
- Rewards/chosen: -2.6374
- Rewards/rejected: -3.7727
- Rewards/accuracies: 0.7460
- Rewards/margins: 1.1353
- Logps/rejected: -652.6792
- Logps/chosen: -559.1896
- Logits/rejected: -1.8319
- Logits/chosen: -2.0104
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- total_eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5795 | 0.2 | 3000 | 0.5888 | -0.7760 | -1.1691 | 0.6830 | 0.3931 | -392.3199 | -373.0482 | -2.3689 | -2.4472 |
| 0.4501 | 0.39 | 6000 | 0.5437 | -2.1190 | -3.1229 | 0.7420 | 1.0038 | -587.6927 | -507.3499 | -1.8484 | -2.0210 |
| 0.3399 | 0.59 | 9000 | 0.5425 | -2.4666 | -3.6163 | 0.7410 | 1.1497 | -637.0340 | -542.1045 | -1.8202 | -2.0023 |
| 0.4636 | 0.79 | 12000 | 0.5347 | -2.6445 | -3.7774 | 0.7450 | 1.1329 | -653.1429 | -559.8973 | -1.8326 | -2.0102 |
| 0.544 | 0.98 | 15000 | 0.5346 | -2.6384 | -3.7732 | 0.7450 | 1.1348 | -652.7231 | -559.2841 | -1.8322 | -2.0103 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2