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--- |
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library_name: transformers |
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license: other |
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base_model: trl-lib/qwen1.5-0.5b-sft |
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tags: |
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- alignment-handbook |
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- trl |
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- simpo |
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- generated_from_trainer |
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- trl |
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- simpo |
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- generated_from_trainer |
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datasets: |
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- yakazimir/ultrafeedback_binarized |
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model-index: |
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- name: qwen_l21_entropy |
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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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# qwen_l21_entropy |
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This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on the yakazimir/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6612 |
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- Rewards/chosen: -4.9613 |
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- Rewards/rejected: -8.3580 |
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- Rewards/accuracies: 0.6766 |
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- Rewards/margins: 3.3967 |
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- Logps/rejected: -8.3580 |
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- Logps/chosen: -4.9613 |
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- Logits/rejected: 1.3373 |
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- Logits/chosen: 0.9296 |
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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: 1e-06 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_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: 3.0 |
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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/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6893 | 0.2141 | 400 | 0.6976 | -5.6399 | -5.6514 | 0.5134 | 0.0115 | -5.6514 | -5.6399 | 0.6073 | 0.4970 | |
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| 0.6905 | 0.4282 | 800 | 0.6888 | -9.5942 | -10.2217 | 0.5772 | 0.6275 | -10.2217 | -9.5942 | 0.9367 | 0.7851 | |
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| 0.6827 | 0.6422 | 1200 | 0.6809 | -3.7037 | -4.6831 | 0.6417 | 0.9794 | -4.6831 | -3.7037 | 0.4628 | 0.3100 | |
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| 0.665 | 0.8563 | 1600 | 0.6737 | -4.1597 | -6.3017 | 0.6588 | 2.1420 | -6.3017 | -4.1597 | 0.9087 | 0.6452 | |
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| 0.674 | 1.0704 | 2000 | 0.6702 | -4.7093 | -7.4594 | 0.6677 | 2.7501 | -7.4594 | -4.7093 | 1.0243 | 0.7072 | |
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| 0.6648 | 1.2845 | 2400 | 0.6651 | -4.2327 | -7.0267 | 0.6654 | 2.7940 | -7.0267 | -4.2327 | 0.9760 | 0.6519 | |
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| 0.6665 | 1.4986 | 2800 | 0.6654 | -4.6367 | -7.6607 | 0.6706 | 3.0240 | -7.6607 | -4.6367 | 1.0821 | 0.7239 | |
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| 0.6746 | 1.7127 | 3200 | 0.6641 | -5.1015 | -8.2207 | 0.6803 | 3.1192 | -8.2207 | -5.1015 | 1.0711 | 0.6993 | |
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| 0.6634 | 1.9267 | 3600 | 0.6629 | -4.7411 | -7.8576 | 0.6855 | 3.1165 | -7.8576 | -4.7411 | 1.0738 | 0.7086 | |
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| 0.6224 | 2.1408 | 4000 | 0.6607 | -4.6523 | -7.8867 | 0.6818 | 3.2344 | -7.8867 | -4.6523 | 1.1108 | 0.7335 | |
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| 0.6604 | 2.3549 | 4400 | 0.6618 | -4.7746 | -8.0447 | 0.6780 | 3.2700 | -8.0447 | -4.7746 | 1.2654 | 0.8695 | |
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| 0.6512 | 2.5690 | 4800 | 0.6615 | -4.9147 | -8.2777 | 0.6773 | 3.3630 | -8.2777 | -4.9147 | 1.2819 | 0.8805 | |
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| 0.6594 | 2.7831 | 5200 | 0.6611 | -4.9802 | -8.3859 | 0.6795 | 3.4057 | -8.3859 | -4.9802 | 1.2711 | 0.8676 | |
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| 0.6402 | 2.9972 | 5600 | 0.6612 | -4.9613 | -8.3580 | 0.6766 | 3.3967 | -8.3580 | -4.9613 | 1.3373 | 0.9296 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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