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@@ -32,12 +32,11 @@ NOTE: The result is not stable, i guess the random shuffle of the dataset is the
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  Here are two weights, one is the final model after 4k iterations, which has the best performance on the zero-shot evaluation, and the other is the model after full training.
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- | Model | link | AI | literature | music | politics | science | movie | restaurant | Average |
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- | :--------: | :---: | :---: | :--------: | :---: | :------: | :-----: | :---: | :--------: | :-----: |
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- | iter_4000 | * | 56.7 | 65.1 | 69.6 | 74.2 | 60.9 | 60.6 | 39.7 | 61.0 |
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- | iter_10000 | * | 55.1 | 62.9 | 68.3 | 71.6 | 57.3 | 58.4 | 40.5 | 59.2 |
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- | ---------- | ----- | ----- | ---------- | ----- | -------- | ------- | ----- | ---------- | ------- |
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- | Paper | * | 57.2 | 64.4 | 69.6 | 72.6 | 62.6 | 57.2 | 42.9 | 60.9 |
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  # Using repo
 
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  Here are two weights, one is the final model after 4k iterations, which has the best performance on the zero-shot evaluation, and the other is the model after full training.
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+ | Model | link | AI | literature | music | politics | science | movie | restaurant | Average |
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+ | :--------: | :-------------------------------------------------------------------: | :---: | :--------: | :---: | :------: | :-----: | :---: | :--------: | :-----: |
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+ | iter_4000 | [🤗](https://huggingface.co/liuyanyi/gliner_large_reproduce_iter_4000) | 56.7 | 65.1 | 69.6 | 74.2 | 60.9 | 60.6 | 39.7 | 61.0 |
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+ | iter_10000 | [🤗](https://huggingface.co/liuyanyi/gliner_large_reproduce) | 55.1 | 62.9 | 68.3 | 71.6 | 57.3 | 58.4 | 40.5 | 59.2 |
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+ | Paper | [🤗](https://huggingface.co/urchade) | 57.2 | 64.4 | 69.6 | 72.6 | 62.6 | 57.2 | 42.9 | 60.9 |
 
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  # Using repo