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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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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: zephyr-7b-sft-safe-hhrlhf |
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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-sft-safe-hhrlhf |
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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 generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1996 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 32 |
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- total_eval_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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4854 | 0.06 | 25 | 1.4540 | |
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| 1.43 | 0.12 | 50 | 1.4291 | |
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| 1.4188 | 0.18 | 75 | 1.4451 | |
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| 1.4465 | 0.25 | 100 | 1.4565 | |
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| 1.4499 | 0.31 | 125 | 1.4525 | |
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| 1.4387 | 0.37 | 150 | 1.4409 | |
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| 1.4368 | 0.43 | 175 | 1.4226 | |
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| 1.4095 | 0.49 | 200 | 1.4227 | |
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| 1.4065 | 0.55 | 225 | 1.4044 | |
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| 1.3747 | 0.62 | 250 | 1.3881 | |
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| 1.3847 | 0.68 | 275 | 1.3720 | |
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| 1.3526 | 0.74 | 300 | 1.3581 | |
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| 1.3072 | 0.8 | 325 | 1.3410 | |
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| 1.3146 | 0.86 | 350 | 1.3239 | |
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| 1.2783 | 0.92 | 375 | 1.3106 | |
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| 1.2773 | 0.99 | 400 | 1.2896 | |
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| 0.7303 | 1.05 | 425 | 1.3327 | |
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| 0.6911 | 1.11 | 450 | 1.3081 | |
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| 0.7044 | 1.17 | 475 | 1.3012 | |
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| 0.6597 | 1.23 | 500 | 1.2845 | |
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| 0.6717 | 1.29 | 525 | 1.2701 | |
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| 0.6538 | 1.35 | 550 | 1.2666 | |
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| 0.6484 | 1.42 | 575 | 1.2481 | |
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| 0.633 | 1.48 | 600 | 1.2404 | |
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| 0.6252 | 1.54 | 625 | 1.2332 | |
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| 0.6423 | 1.6 | 650 | 1.2212 | |
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| 0.6182 | 1.66 | 675 | 1.2115 | |
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| 0.6218 | 1.72 | 700 | 1.2099 | |
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| 0.6293 | 1.79 | 725 | 1.2038 | |
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| 0.5978 | 1.85 | 750 | 1.2014 | |
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| 0.6176 | 1.91 | 775 | 1.1995 | |
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| 0.6475 | 1.97 | 800 | 1.1996 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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