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Model: Ejafa/qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2-0.5B-Instruct
+tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- princeton-nlp/llama3-ultrafeedback
+model-index:
+- name: qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
+  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. -->
+## Description
+This model was trained as part of the Reinforcement Learning - 24 project at Peking University, focusing on [simpo].
+
+## Authors
+- Ejafa Bassam
+- Yaroslav Ponomarenko
+# qwen2-0.5b-instruct-simpo-lr-5e-07-gamma-1.5
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.6594
+- Rewards/chosen: -3.3473
+- Rewards/rejected: -3.4798
+- Rewards/accuracies: 0.5282
+- Rewards/margins: 0.1325
+- Logps/rejected: -1.3919
+- Logps/chosen: -1.3389
+- Logits/rejected: -5.2419
+- Logits/chosen: -5.3398
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_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: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 1.6693        | 0.8549 | 400  | 1.6598          | -3.3421        | -3.4735          | 0.5282             | 0.1314          | -1.3894        | -1.3368      | -5.2590         | -5.3573       |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1