Text Generation
Transformers
Safetensors
mistral
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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Update 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
@@ -13,7 +16,10 @@ 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 [plaguss/zephyr-7b-spin-iter1-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter1-v0) on the None 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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  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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+
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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