---
library_name: transformers
license: other
base_model: trl-lib/qwen1.5-0.5b-sft
tags:
- alignment-handbook
- trl
- simpo
- generated_from_trainer
- trl
- simpo
- generated_from_trainer
datasets:
- yakazimir/ultrafeedback_binarized
model-index:
- name: qwen_cCPO_entropy
  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. -->

# qwen_cCPO_entropy

This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on the yakazimir/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4698
- Rewards/chosen: -1.7544
- Rewards/rejected: -2.3724
- Rewards/accuracies: 0.6840
- Rewards/margins: 0.6180
- Logps/rejected: -2.3724
- Logps/chosen: -1.7544
- Logits/rejected: 0.2213
- Logits/chosen: 0.1180

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.547         | 0.2141 | 400  | 0.5455          | -1.3437        | -1.4812          | 0.5579             | 0.1374          | -1.4812        | -1.3437      | 0.3541          | 0.2674        |
| 0.5301        | 0.4282 | 800  | 0.5165          | -1.3889        | -1.6415          | 0.5927             | 0.2526          | -1.6415        | -1.3889      | 0.4272          | 0.3345        |
| 0.5265        | 0.6422 | 1200 | 0.4985          | -1.4579        | -1.8204          | 0.6224             | 0.3625          | -1.8204        | -1.4579      | 0.3699          | 0.2760        |
| 0.4765        | 0.8563 | 1600 | 0.4935          | -1.4994        | -1.8829          | 0.6380             | 0.3836          | -1.8829        | -1.4994      | 0.3198          | 0.2257        |
| 0.5542        | 1.0704 | 2000 | 0.4872          | -1.4687        | -1.8582          | 0.6372             | 0.3895          | -1.8582        | -1.4687      | 0.3054          | 0.2090        |
| 0.4732        | 1.2845 | 2400 | 0.4775          | -1.6420        | -2.1625          | 0.6669             | 0.5204          | -2.1625        | -1.6420      | 0.3805          | 0.2752        |
| 0.5055        | 1.4986 | 2800 | 0.4755          | -1.6156        | -2.1129          | 0.6639             | 0.4973          | -2.1129        | -1.6156      | 0.4048          | 0.2981        |
| 0.4945        | 1.7127 | 3200 | 0.4738          | -1.5940        | -2.0956          | 0.6677             | 0.5016          | -2.0956        | -1.5940      | 0.3909          | 0.2834        |
| 0.4619        | 1.9267 | 3600 | 0.4700          | -1.6914        | -2.2530          | 0.6728             | 0.5617          | -2.2530        | -1.6914      | 0.3536          | 0.2473        |
| 0.4109        | 2.1408 | 4000 | 0.4699          | -1.7062        | -2.2883          | 0.6780             | 0.5822          | -2.2883        | -1.7062      | 0.3677          | 0.2556        |
| 0.4282        | 2.3549 | 4400 | 0.4707          | -1.7749        | -2.3952          | 0.6877             | 0.6202          | -2.3952        | -1.7749      | 0.2280          | 0.1239        |
| 0.4299        | 2.5690 | 4800 | 0.4704          | -1.7425        | -2.3507          | 0.6803             | 0.6082          | -2.3507        | -1.7425      | 0.3027          | 0.1929        |
| 0.4414        | 2.7831 | 5200 | 0.4698          | -1.7506        | -2.3686          | 0.6847             | 0.6181          | -2.3686        | -1.7506      | 0.2344          | 0.1302        |
| 0.404         | 2.9972 | 5600 | 0.4698          | -1.7544        | -2.3724          | 0.6840             | 0.6180          | -2.3724        | -1.7544      | 0.2213          | 0.1180        |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1