|
--- |
|
license: other |
|
base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
datasets: |
|
- argilla/dpo-mix-7k |
|
model-index: |
|
- name: gemma_rpo_eta0.005_no_decay |
|
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. --> |
|
|
|
# gemma_rdpo_eta0.005_no_decay |
|
|
|
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the argilla/dpo-mix-7k dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5899 |
|
- Rewards/chosen: -0.7561 |
|
- Rewards/rejected: -2.1676 |
|
- Rewards/accuracies: 0.7234 |
|
- Rewards/margins: 1.4115 |
|
- Logps/rejected: -464.4193 |
|
- Logps/chosen: -408.9966 |
|
- Logits/rejected: 161.6372 |
|
- Logits/chosen: 163.3166 |
|
- Eta: 0.0050 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Eta | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:------:| |
|
| 0.5915 | 0.9479 | 50 | 0.5745 | -0.7212 | -1.8546 | 0.7021 | 1.1334 | -458.1599 | -408.3000 | 171.6370 | 174.0368 | 0.0050 | |
|
| 0.2599 | 1.8957 | 100 | 0.5899 | -0.7561 | -2.1676 | 0.7234 | 1.4115 | -464.4193 | -408.9966 | 161.6372 | 163.3166 | 0.0050 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
