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--- |
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library_name: transformers |
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license: llama3.1 |
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base_model: mlfoundations-dev/stackoverflow_25000tasks_1p |
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tags: |
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- llama-factory |
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- full |
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- trl |
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- dpo |
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- llama-factory |
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- generated_from_trainer |
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model-index: |
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- name: simpo-stackoverflow_25000tasks_1p |
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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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# simpo-stackoverflow_25000tasks_1p |
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This model is a fine-tuned version of [mlfoundations-dev/stackoverflow_25000tasks_1p](https://huggingface.co/mlfoundations-dev/stackoverflow_25000tasks_1p) on the mlfoundations-dev/gemma2-ultrafeedback-armorm dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5764 |
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- Rewards/chosen: -41.7245 |
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- Rewards/rejected: -48.5194 |
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- Rewards/accuracies: 0.7931 |
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- Rewards/margins: 6.7950 |
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- Logps/chosen: -4.1724 |
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- Logps/rejected: -4.8519 |
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- Logits/chosen: -1.0221 |
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- Logits/rejected: -1.0402 |
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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: 8e-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: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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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/chosen | Logps/rejected | Logits/chosen | Logits/rejected | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:| |
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| 2.8273 | 0.9997 | 442 | 2.5764 | -41.7245 | -48.5194 | 0.7931 | 6.7950 | -4.1724 | -4.8519 | -1.0221 | -1.0402 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.3.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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