85 lines
2.4 KiB
Markdown
85 lines
2.4 KiB
Markdown
---
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license: apache-2.0
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base_model: Qwen/Qwen2-0.5B-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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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- princeton-nlp/llama3-ultrafeedback
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model-index:
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- name: qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
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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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## Description
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This model was trained as part of the Reinforcement Learning - 24 project at Peking University, focusing on [simpo].
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## Authors
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- Ejafa Bassam
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- Yaroslav Ponomarenko
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# qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6594
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- Rewards/chosen: -3.3473
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- Rewards/rejected: -3.4798
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- Rewards/accuracies: 0.5282
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- Rewards/margins: 0.1325
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- Logps/rejected: -1.3919
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- Logps/chosen: -1.3389
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- Logits/rejected: -5.2419
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- Logits/chosen: -5.3398
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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: 4
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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: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 32
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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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| 1.6693 | 0.8549 | 400 | 1.6598 | -3.3421 | -3.4735 | 0.5282 | 0.1314 | -1.3894 | -1.3368 | -5.2590 | -5.3573 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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