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Model: argilla/zephyr-7b-spin-iter0-v0 Source: Original Platform
2026-06-24 18:19:12 +08:00
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+---
+license: apache-2.0
+base_model: alignment-handbook/zephyr-7b-sft-full
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-spin-iter0-v0
+  results: []
+datasets:
+- argilla/10k_prompts_SPIN_iter0_zephyr_top
+- DIBT/10k_prompts_ranked
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-7b-spin-iter0-v0
+
+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 
+[argilla/10k_prompts_SPIN_iter0_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter0_zephyr_top) dataset.
+
+
+It achieves the following results on the evaluation set:
+
+- Loss: 0.2359
+- Rewards/real: 1.3255
+- Rewards/generated: -0.8966
+- Rewards/accuracies: 0.9792
+- Rewards/margins: 2.2221
+- Logps/generated: -309.8145
+- Logps/real: -304.9670
+- Logits/generated: -2.7558
+- Logits/real: -2.7547
+
+## MT-Bench results
+
+| Model                   | 1st Turn Score | 2nd Turn Score | Average Score |
+|-------------------------|----------------|----------------|---------------|
+| zephyr-7b-sft-full      | 6.6625         | 6.0250         | 6.34375       |
+| zephyr-7b-spin-iter0-v0 | 6.64375        | 6.1750         | 6.409375      |
+| zephyr-7b-spin-iter1-v0 | 6.90625        | 6.3000         | 6.603125      |
+| zephyr-7b-spin-iter2-v0 | **7.1375**     | 6.3125         | 6.725000      |
+| zephyr-7b-spin-iter3-v0 | 7.09375        | **6.4500**     | **6.771875**  |
+
+
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+SPIN
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
+|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
+| 0.3011        | 0.96  | 25   | 0.2442          | 1.1606       | -0.9851           | 0.9792             | 2.1457          | -310.6989       | -306.6157  | -2.7644          | -2.7641     |
+| 0.0376        | 1.92  | 50   | 0.2359          | 1.3255       | -0.8966           | 0.9792             | 2.2221          | -309.8145       | -304.9670  | -2.7558          | -2.7547     |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2