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Model: tanliboy/lambda-qwen2.5-14b-dpo-test Source: Original Platform
2026-05-26 01:22:18 +08:00
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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-14B-Instruct
+tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: lambda-qwen2.5-14b-dpo-test
+  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. -->
+
+# lambda-qwen2.5-14b-dpo-test
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4919
+- Rewards/chosen: -2.4745
+- Rewards/rejected: -3.3729
+- Rewards/accuracies: 0.7400
+- Rewards/margins: 0.8984
+- Logps/rejected: -832.0724
+- Logps/chosen: -737.5234
+- Logits/rejected: -1.2739
+- Logits/chosen: -1.2560
+
+## 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: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5269        | 0.2094 | 100  | 0.5333          | -1.6756        | -2.3320          | 0.7000             | 0.6564          | -727.9815      | -657.6356    | -1.3952         | -1.3850       |
+| 0.5086        | 0.4187 | 200  | 0.5044          | -2.0906        | -2.9287          | 0.7040             | 0.8381          | -787.6511      | -699.1298    | -1.2939         | -1.2773       |
+| 0.4787        | 0.6281 | 300  | 0.4948          | -2.2927        | -3.1689          | 0.7320             | 0.8762          | -811.6696      | -719.3386    | -1.2846         | -1.2646       |
+| 0.4825        | 0.8375 | 400  | 0.4924          | -2.4470        | -3.3410          | 0.7400             | 0.8939          | -828.8748      | -734.7765    | -1.2644         | -1.2477       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1