<!-- Generated by scripts/utils/show_asr_result.sh -->
# RESULTS
## Environments
- date: `Mon Nov  4 13:48:05 CST 2024`
- python version: `3.9.18 | packaged by conda-forge | (main, Dec 23 2023, 16:33:10)  [GCC 12.3.0]`
- espnet version: `espnet 202402`
- pytorch version: `pytorch 2.4.0`
- Git hash: `aa8910e107440c14a9e22e35e252c562e636552e`
  - Commit date: `Sun Oct 13 10:22:11 2024 -0500`

## exp/asr_pt.initfix.bigbatch512.lr2e-4.weighted12layers.20241103.145125/
```
=====================================================
 Split: evaluation Evaluation over 1045 predictions.
=====================================================
 cider_d             : 0.19368922695190316
 spice               : 0.0892430642605593
 spider              : 0.14146614560623122
 sbert_sim           : 0.47783581224140936
 fer                 : 0.5301435406698565
 fense               : 0.2520530143112799
 meteor              : 0.13875538640747337
 rouge_l             : 0.2737659351281743
 fer.add_tail_prob   : 0.2866000533103943
 fer.repeat_event_prob: 0.08905956894159317
 fer.repeat_adv_prob : 0.0013483789516612887
 fer.remove_conj_prob: 0.19881780445575714
 fer.remove_verb_prob: 0.3627748191356659
 fer.error_prob      : 0.6818609833717346
 spider_fl           : 0.07657683145973274
=====================================================
```