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<!-- Generated by scripts/utils/show_asr_result.sh --> |
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# RESULTS |
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## Environments |
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- date: `Mon Nov 4 13:48:05 CST 2024` |
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- python version: `3.9.18 | packaged by conda-forge | (main, Dec 23 2023, 16:33:10) [GCC 12.3.0]` |
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- espnet version: `espnet 202402` |
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- pytorch version: `pytorch 2.4.0` |
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- Git hash: `aa8910e107440c14a9e22e35e252c562e636552e` |
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- Commit date: `Sun Oct 13 10:22:11 2024 -0500` |
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## exp/asr_pt.initfix.bigbatch512.lr2e-4.weighted12layers.20241103.145125/ |
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``` |
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===================================================== |
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Split: evaluation Evaluation over 1045 predictions. |
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===================================================== |
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cider_d : 0.19368922695190316 |
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spice : 0.0892430642605593 |
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spider : 0.14146614560623122 |
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sbert_sim : 0.47783581224140936 |
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fer : 0.5301435406698565 |
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fense : 0.2520530143112799 |
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meteor : 0.13875538640747337 |
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rouge_l : 0.2737659351281743 |
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fer.add_tail_prob : 0.2866000533103943 |
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fer.repeat_event_prob: 0.08905956894159317 |
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fer.repeat_adv_prob : 0.0013483789516612887 |
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fer.remove_conj_prob: 0.19881780445575714 |
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fer.remove_verb_prob: 0.3627748191356659 |
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fer.error_prob : 0.6818609833717346 |
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spider_fl : 0.07657683145973274 |
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===================================================== |
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``` |