94 lines
3.6 KiB
Markdown
94 lines
3.6 KiB
Markdown
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---
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license: apache-2.0
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base_model: argilla/zephyr-7b-spin-iter1-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-iter2-v0
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results: []
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datasets:
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- argilla/10k_prompts_SPIN_iter2_zephyr_top
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- argilla/10k_prompts_SPIN_iter1_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-iter2-v0
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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
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[argilla/10k_prompts_SPIN_iter2_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter2_zephyr_top)
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and the [argilla/10k_prompts_SPIN_iter1_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter1_zephyr_top) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1253
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- Rewards/real: -0.5683
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- Rewards/generated: -4.9538
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- Rewards/accuracies: 0.9479
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- Rewards/margins: 4.3854
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- Logps/generated: -739.3701
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- Logps/real: -278.2851
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- Logits/generated: -2.8430
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- Logits/real: -2.8375
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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: 1e-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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| 5.8769 | 0.49 | 25 | 0.1890 | -0.1680 | -2.9833 | 0.9375 | 2.8153 | -719.6649 | -274.2817 | -2.7940 | -2.8382 |
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| 0.1202 | 0.97 | 50 | 0.1440 | -0.4164 | -4.2256 | 0.9479 | 3.8092 | -732.0879 | -276.7652 | -2.8395 | -2.8439 |
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| 0.0754 | 1.46 | 75 | 0.1298 | -0.5468 | -4.7565 | 0.9583 | 4.2097 | -737.3973 | -278.0700 | -2.8411 | -2.8388 |
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| 0.0621 | 1.94 | 100 | 0.1253 | -0.5683 | -4.9538 | 0.9479 | 4.3854 | -739.3701 | -278.2851 | -2.8430 | -2.8375 |
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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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