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Model: argilla/zephyr-7b-spin-iter1-v0 Source: Original Platform
2026-06-07 20:19:13 +08:00
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+---
+license: apache-2.0
+base_model: argilla/zephyr-7b-spin-iter0-v0
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-spin-iter1-v0
+  results: []
+datasets:
+- argilla/10k_prompts_SPIN_iter1_zephyr_top
+- 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-iter1-v0
+
+This model is a fine-tuned version of [argilla/zephyr-7b-spin-iter0-v0](https://huggingface.co/argilla/zephyr-7b-spin-iter0-v0) on the 
+[argilla/10k_prompts_SPIN_iter1_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter1_zephyr_top) and 
+[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: 0.0831
+- Rewards/real: 1.3037
+- Rewards/generated: -5.4434
+- Rewards/accuracies: 0.9792
+- Rewards/margins: 6.7471
+- Logps/generated: -545.0309
+- Logps/real: -272.3726
+- Logits/generated: -2.6844
+- Logits/real: -2.7197
+
+
+## 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**  |
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
+| 0.1827        | 0.49  | 25   | 0.1651          | 0.1714       | -3.3650           | 0.9688             | 3.5364          | -524.2469       | -283.6962  | -2.7482          | -2.7944     |
+| 0.0462        | 0.97  | 50   | 0.0835          | 1.4823       | -4.4998           | 1.0                | 5.9821          | -535.5947       | -270.5871  | -2.6963          | -2.7356     |
+| 0.0047        | 1.46  | 75   | 0.0837          | 1.3725       | -5.2500           | 0.9896             | 6.6225          | -543.0965       | -271.6846  | -2.6847          | -2.7211     |
+| 0.0034        | 1.94  | 100  | 0.0831          | 1.3037       | -5.4434           | 0.9792             | 6.7471          | -545.0309       | -272.3726  | -2.6844          | -2.7197     |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2