metadata
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
results: []
zephyr-dpo-timedial-selfgen
This model is a fine-tuned version of EllieS/zephyr-sft-timedial on the EllieS/timedial_selfgen dataset. It achieves the following results on the evaluation set:
- Loss: 0.0055
- Rewards/chosen: 0.4843
- Rewards/rejected: -5.0618
- Rewards/accuracies: 1.0
- Rewards/margins: 5.5461
- Logps/rejected: -740.9361
- Logps/chosen: -96.9992
- Logits/rejected: -3.1155
- Logits/chosen: -2.6815
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0166 | 0.35 | 100 | 0.0198 | 0.4885 | -3.4443 | 1.0 | 3.9328 | -579.1801 | -96.5815 | -3.1058 | -2.6808 |
| 0.0015 | 0.7 | 200 | 0.0055 | 0.4843 | -5.0618 | 1.0 | 5.5461 | -740.9361 | -96.9992 | -3.1155 | -2.6815 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2