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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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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-spin-iter0-v0 |
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results: [] |
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datasets: |
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- argilla/10k_prompts_SPIN_iter0_zephyr_top |
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- DIBT/10k_prompts_ranked |
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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-spin-iter0-v0 |
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This model is a fine-tuned model with SPIN starting with [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the |
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[argilla/10k_prompts_SPIN_iter0_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter0_zephyr_top) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2359 |
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- Rewards/real: 1.3255 |
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- Rewards/generated: -0.8966 |
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- Rewards/accuracies: 0.9792 |
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- Rewards/margins: 2.2221 |
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- Logps/generated: -309.8145 |
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- Logps/real: -304.9670 |
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- Logits/generated: -2.7558 |
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- Logits/real: -2.7547 |
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## MT-Bench results |
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| Model | 1st Turn Score | 2nd Turn Score | Average Score | |
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|-------------------------|----------------|----------------|---------------| |
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| zephyr-7b-sft-full | 6.6625 | 6.0250 | 6.34375 | |
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| zephyr-7b-spin-iter0-v0 | 6.64375 | 6.1750 | 6.409375 | |
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| zephyr-7b-spin-iter1-v0 | 6.90625 | 6.3000 | 6.603125 | |
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| zephyr-7b-spin-iter2-v0 | **7.1375** | 6.3125 | 6.725000 | |
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| zephyr-7b-spin-iter3-v0 | 7.09375 | **6.4500** | **6.771875** | |
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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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SPIN |
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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: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real | |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:| |
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| 0.3011 | 0.96 | 25 | 0.2442 | 1.1606 | -0.9851 | 0.9792 | 2.1457 | -310.6989 | -306.6157 | -2.7644 | -2.7641 | |
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| 0.0376 | 1.92 | 50 | 0.2359 | 1.3255 | -0.8966 | 0.9792 | 2.2221 | -309.8145 | -304.9670 | -2.7558 | -2.7547 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
