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README.md
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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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---
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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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# zephyr-7b-spin-iter2-v0
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This model is a fine-tuned version of [
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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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- 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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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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---
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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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# 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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- 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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