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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs |
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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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# zephyr-7b-dpo-full-ultrabin-high-margin-3-epochs |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5894 |
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- Rewards/chosen: -2.9914 |
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- Rewards/rejected: -4.9379 |
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- Rewards/accuracies: 0.7578 |
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- Rewards/margins: 1.9464 |
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- Logps/rejected: -756.4492 |
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- Logps/chosen: -561.7738 |
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- Logits/rejected: 3.7803 |
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- Logits/chosen: 2.4993 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 55 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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 |
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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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| 0.5611 | 0.3484 | 50 | 0.6184 | -0.0925 | -0.3566 | 0.6875 | 0.2640 | -298.3184 | -271.8824 | -2.5030 | -2.5443 | |
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| 0.3114 | 0.6969 | 100 | 0.5684 | -1.2749 | -2.2355 | 0.7188 | 0.9606 | -486.2125 | -390.1244 | 1.4736 | 0.8929 | |
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| 0.2115 | 1.0453 | 150 | 0.5424 | -1.1893 | -2.3764 | 0.7344 | 1.1871 | -500.3030 | -381.5569 | 1.7464 | 0.8516 | |
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| 0.1459 | 1.3937 | 200 | 0.5506 | -1.5868 | -2.9488 | 0.7383 | 1.3620 | -557.5460 | -421.3102 | 2.1181 | 1.2033 | |
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| 0.155 | 1.7422 | 250 | 0.5421 | -1.7379 | -3.1364 | 0.7422 | 1.3985 | -576.3018 | -436.4162 | 0.6639 | -0.1257 | |
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| 0.0778 | 2.0906 | 300 | 0.5661 | -2.2459 | -3.9084 | 0.7578 | 1.6626 | -653.5056 | -487.2183 | 2.4478 | 1.3197 | |
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| 0.063 | 2.4390 | 350 | 0.5745 | -2.4511 | -4.2302 | 0.7461 | 1.7791 | -685.6794 | -507.7419 | 3.2009 | 2.0299 | |
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| 0.0546 | 2.7875 | 400 | 0.5884 | -2.9614 | -4.9020 | 0.7578 | 1.9406 | -752.8591 | -558.7693 | 3.7820 | 2.5008 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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