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Model: argilla/zephyr-7b-spin-iter2-v0 Source: Original Platform
2026-09-09 13:38:12 +08:00
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+---
+license: apache-2.0
+base_model: argilla/zephyr-7b-spin-iter1-v0
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-spin-iter2-v0
+  results: []
+datasets:
+- argilla/10k_prompts_SPIN_iter2_zephyr_top
+- argilla/10k_prompts_SPIN_iter1_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-iter2-v0
+
+This model is a fine-tuned version of [argilla/zephyr-7b-spin-iter1-v0](https://huggingface.co/argilla/zephyr-7b-spin-iter1-v0) on the 
+[argilla/10k_prompts_SPIN_iter2_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter2_zephyr_top)
+and the [argilla/10k_prompts_SPIN_iter1_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter1_zephyr_top) dataset.
+
+It achieves the following results on the evaluation set:
+- Loss: 0.1253
+- Rewards/real: -0.5683
+- Rewards/generated: -4.9538
+- Rewards/accuracies: 0.9479
+- Rewards/margins: 4.3854
+- Logps/generated: -739.3701
+- Logps/real: -278.2851
+- Logits/generated: -2.8430
+- Logits/real: -2.8375
+
+
+## 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: 1e-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 |
+|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
+| 5.8769        | 0.49  | 25   | 0.1890          | -0.1680      | -2.9833           | 0.9375             | 2.8153          | -719.6649       | -274.2817  | -2.7940          | -2.8382     |
+| 0.1202        | 0.97  | 50   | 0.1440          | -0.4164      | -4.2256           | 0.9479             | 3.8092          | -732.0879       | -276.7652  | -2.8395          | -2.8439     |
+| 0.0754        | 1.46  | 75   | 0.1298          | -0.5468      | -4.7565           | 0.9583             | 4.2097          | -737.3973       | -278.0700  | -2.8411          | -2.8388     |
+| 0.0621        | 1.94  | 100  | 0.1253          | -0.5683      | -4.9538           | 0.9479             | 4.3854          | -739.3701       | -278.2851  | -2.8430          | -2.8375     |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2