---
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_ce_entropy_0_0
  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_ce_entropy_0_0

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: 1.2625
- Rewards/chosen: -1.2622
- Rewards/rejected: -1.3865
- Rewards/accuracies: 0.5467
- Rewards/margins: 0.1243
- Logps/rejected: -1.3865
- Logps/chosen: -1.2622
- Logits/rejected: 0.0855
- Logits/chosen: 0.0231

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.2909        | 0.2141 | 400  | 1.3232          | -1.3229        | -1.4423          | 0.5549             | 0.1194          | -1.4423        | -1.3229      | 0.3582          | 0.2751        |
| 1.2587        | 0.4282 | 800  | 1.2927          | -1.2925        | -1.4166          | 0.5504             | 0.1242          | -1.4166        | -1.2925      | 0.3302          | 0.2542        |
| 1.2174        | 0.6422 | 1200 | 1.2838          | -1.2835        | -1.4045          | 0.5490             | 0.1210          | -1.4045        | -1.2835      | 0.2712          | 0.2000        |
| 1.2991        | 0.8563 | 1600 | 1.2773          | -1.2770        | -1.3983          | 0.5467             | 0.1213          | -1.3983        | -1.2770      | 0.2519          | 0.1821        |
| 1.2615        | 1.0704 | 2000 | 1.2727          | -1.2724        | -1.3955          | 0.5490             | 0.1231          | -1.3955        | -1.2724      | 0.1950          | 0.1280        |
| 1.1889        | 1.2845 | 2400 | 1.2689          | -1.2686        | -1.3926          | 0.5475             | 0.1239          | -1.3926        | -1.2686      | 0.1649          | 0.0990        |
| 1.2782        | 1.4986 | 2800 | 1.2663          | -1.2660        | -1.3882          | 0.5482             | 0.1222          | -1.3882        | -1.2660      | 0.1472          | 0.0825        |
| 1.225         | 1.7127 | 3200 | 1.2649          | -1.2646        | -1.3872          | 0.5460             | 0.1226          | -1.3872        | -1.2646      | 0.1561          | 0.0901        |
| 1.1621        | 1.9267 | 3600 | 1.2636          | -1.2633        | -1.3851          | 0.5475             | 0.1218          | -1.3851        | -1.2633      | 0.1670          | 0.0991        |
| 1.1574        | 2.1408 | 4000 | 1.2633          | -1.2630        | -1.3882          | 0.5467             | 0.1252          | -1.3882        | -1.2630      | 0.1189          | 0.0543        |
| 1.1513        | 2.3549 | 4400 | 1.2630          | -1.2627        | -1.3868          | 0.5453             | 0.1241          | -1.3868        | -1.2627      | 0.1222          | 0.0567        |
| 1.1366        | 2.5690 | 4800 | 1.2624          | -1.2622        | -1.3866          | 0.5475             | 0.1244          | -1.3866        | -1.2622      | 0.1424          | 0.0753        |
| 1.1253        | 2.7831 | 5200 | 1.2627          | -1.2624        | -1.3865          | 0.5475             | 0.1241          | -1.3865        | -1.2624      | 0.1178          | 0.0528        |
| 1.1657        | 2.9972 | 5600 | 1.2625          | -1.2622        | -1.3865          | 0.5467             | 0.1243          | -1.3865        | -1.2622      | 0.0855          | 0.0231        |


### Framework versions

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