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---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpo-qlora-uf-ours-5e-7-epoch1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-dpo-qlora-uf-ours-5e-7-epoch1
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/UF dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6853
- Rewards/chosen: 0.0412
- Rewards/rejected: 0.0193
- Rewards/accuracies: 0.5880
- Rewards/margins: 0.0219
- Rewards/margins Max: 0.1290
- Rewards/margins Min: -0.0714
- Rewards/margins Std: 0.0669
- Logps/rejected: -256.6506
- Logps/chosen: -280.4748
- Logits/rejected: -2.7413
- Logits/chosen: -2.7795
## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6803 | 0.28 | 100 | 0.6908 | 0.0154 | 0.0089 | 0.5800 | 0.0065 | 0.0406 | -0.0225 | 0.0210 | -257.6936 | -283.0562 | -2.7654 | -2.8039 |
| 0.6568 | 0.56 | 200 | 0.6869 | 0.0391 | 0.0218 | 0.5960 | 0.0173 | 0.1025 | -0.0572 | 0.0531 | -256.3947 | -280.6796 | -2.7494 | -2.7877 |
| 0.6398 | 0.85 | 300 | 0.6854 | 0.0408 | 0.0192 | 0.5900 | 0.0216 | 0.1281 | -0.0713 | 0.0665 | -256.6587 | -280.5105 | -2.7434 | -2.7814 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |