93 lines
3.5 KiB
Markdown
93 lines
3.5 KiB
Markdown
---
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license: apache-2.0
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base_model: argilla/zephyr-7b-spin-iter0-v0
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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-iter1-v0
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results: []
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datasets:
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- argilla/10k_prompts_SPIN_iter1_zephyr_top
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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-iter1-v0
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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
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[argilla/10k_prompts_SPIN_iter1_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter1_zephyr_top) and
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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: 0.0831
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- Rewards/real: 1.3037
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- Rewards/generated: -5.4434
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- Rewards/accuracies: 0.9792
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- Rewards/margins: 6.7471
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- Logps/generated: -545.0309
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- Logps/real: -272.3726
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- Logits/generated: -2.6844
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- Logits/real: -2.7197
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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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## Model description
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More information needed
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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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### 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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| 0.1827 | 0.49 | 25 | 0.1651 | 0.1714 | -3.3650 | 0.9688 | 3.5364 | -524.2469 | -283.6962 | -2.7482 | -2.7944 |
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| 0.0462 | 0.97 | 50 | 0.0835 | 1.4823 | -4.4998 | 1.0 | 5.9821 | -535.5947 | -270.5871 | -2.6963 | -2.7356 |
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| 0.0047 | 1.46 | 75 | 0.0837 | 1.3725 | -5.2500 | 0.9896 | 6.6225 | -543.0965 | -271.6846 | -2.6847 | -2.7211 |
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| 0.0034 | 1.94 | 100 | 0.0831 | 1.3037 | -5.4434 | 0.9792 | 6.7471 | -545.0309 | -272.3726 | -2.6844 | -2.7197 |
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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 |