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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen2.5-32B-Instruct
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- tanliboy/orca_dpo_pairs
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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model-index:
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- name: lambda-qwen2.5-32b-dpo-test
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# lambda-qwen2.5-32b-dpo-test
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This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the tanliboy/orca_dpo_pairs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0003
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- Rewards/chosen: -10.1618
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- Rewards/rejected: -26.1150
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- Rewards/accuracies: 1.0
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- Rewards/margins: 15.9532
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- Logps/rejected: -3049.5271
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- Logps/chosen: -1372.8903
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- Logits/rejected: -0.3154
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- Logits/chosen: -0.0600
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.0103 | 0.2618 | 100 | 0.0060 | -8.5159 | -18.7731 | 1.0 | 10.2572 | -2315.3333 | -1208.2968 | -0.5485 | -0.2481 |
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| 0.0005 | 0.5236 | 200 | 0.0005 | -9.9255 | -24.9117 | 1.0 | 14.9862 | -2929.1948 | -1349.2588 | -0.3723 | -0.0661 |
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| 0.0005 | 0.7853 | 300 | 0.0004 | -10.0873 | -25.9319 | 1.0 | 15.8446 | -3031.2175 | -1365.4342 | -0.2882 | -0.0014 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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