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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-dpop-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-dpop-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: 0.7024
- Positive Losses: 0.1617
- Dpo Losses: 0.6844
- Rewards/chosen: 0.0533
- Rewards/rejected: 0.0348
- Rewards/accuracies: 0.5940
- Rewards/margins: 0.0185
- Rewards/margins Max: 0.1082
- Rewards/margins Min: -0.0600
- Rewards/margins Std: 0.0561
- Logps/rejected: -255.0996
- Logps/chosen: -279.2664
- Logits/rejected: -2.7455
- Logits/chosen: -2.7839
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6834 | 0.28 | 100 | 0.6932 | 0.0200 | 0.6905 | 0.0248 | 0.0194 | 0.5930 | 0.0054 | 0.0341 | -0.0197 | 0.0178 | -256.6423 | -282.1181 | -2.7657 | -2.8044 |
| 0.6629 | 0.56 | 200 | 0.6977 | 0.1042 | 0.6860 | 0.0485 | 0.0335 | 0.5980 | 0.0149 | 0.0881 | -0.0489 | 0.0456 | -255.2263 | -279.7464 | -2.7492 | -2.7879 |
| 0.6479 | 0.85 | 300 | 0.7024 | 0.1592 | 0.6845 | 0.0528 | 0.0346 | 0.5940 | 0.0182 | 0.1072 | -0.0591 | 0.0555 | -255.1217 | -279.3168 | -2.7478 | -2.7859 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |