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---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6konly
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-uf6k-5e-7
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-dpop-qlora-uf6k-5e-7
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/UF6konly dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6916
- Positive Losses: 0.0091
- Dpo Losses: 0.6900
- Rewards/chosen: 0.0284
- Rewards/rejected: 0.0220
- Rewards/accuracies: 0.6570
- Rewards/margins: 0.0064
- Rewards/margins Max: 0.0305
- Rewards/margins Min: -0.0149
- Rewards/margins Std: 0.0150
- Logps/rejected: -256.3835
- Logps/chosen: -281.7567
- Logits/rejected: -2.7680
- Logits/chosen: -2.8065
## 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 | Positive Losses | Dpo Losses | 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6925 | 0.3 | 100 | 0.6926 | 0.0030 | 0.6919 | 0.0172 | 0.0146 | 0.6330 | 0.0026 | 0.0140 | -0.0079 | 0.0073 | -257.1209 | -282.8758 | -2.7669 | -2.8058 |
| 0.6928 | 0.61 | 200 | 0.6919 | 0.0086 | 0.6904 | 0.0259 | 0.0203 | 0.6470 | 0.0056 | 0.0265 | -0.0130 | 0.0131 | -256.5479 | -282.0022 | -2.7678 | -2.8064 |
| 0.6916 | 0.91 | 300 | 0.6914 | 0.0070 | 0.6900 | 0.0283 | 0.0219 | 0.6630 | 0.0064 | 0.0305 | -0.0148 | 0.0149 | -256.3924 | -281.7664 | -2.7635 | -2.8024 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |