88 lines
3.0 KiB
Markdown
88 lines
3.0 KiB
Markdown
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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
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