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---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- EllieS/timedial_selfgen
model-index:
- name: zephyr-dpo-timedial-selfgen-mix
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-timedial-selfgen-mix
This model is a fine-tuned version of [EllieS/zephyr-dpo-timedial](https://huggingface.co/EllieS/zephyr-dpo-timedial) on the EllieS/timedial_selfgen dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0236
- Rewards/chosen: 0.5600
- Rewards/rejected: -3.3438
- Rewards/accuracies: 1.0
- Rewards/margins: 3.9038
- Logps/rejected: -542.8434
- Logps/chosen: -74.4535
- Logits/rejected: -3.2030
- Logits/chosen: -2.7110
## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.039 | 0.35 | 100 | 0.0525 | 0.5119 | -2.4372 | 1.0 | 2.9492 | -452.1829 | -79.2593 | -3.2065 | -2.7171 |
| 0.0106 | 0.7 | 200 | 0.0236 | 0.5600 | -3.3438 | 1.0 | 3.9038 | -542.8434 | -74.4535 | -3.2030 | -2.7110 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2 |