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End of training

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README.md CHANGED
@@ -10,19 +10,19 @@ tags:
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  datasets:
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  - aihub_adult_baseline
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  model-index:
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- - name: whisper-small-E10_Ypause_speed
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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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  should probably proofread and complete it, then remove this comment. -->
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- # whisper-small-E10_Ypause_speed
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2307
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- - Cer: 6.8961
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  ## Model description
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@@ -57,21 +57,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 0.2656 | 0.1289 | 100 | 0.2723 | 6.9431 |
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- | 0.1355 | 0.2579 | 200 | 0.2556 | 6.6494 |
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- | 0.1474 | 0.3868 | 300 | 0.2533 | 6.7904 |
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- | 0.1083 | 0.5158 | 400 | 0.2456 | 6.5907 |
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- | 0.1041 | 0.6447 | 500 | 0.2498 | 6.9196 |
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- | 0.0855 | 0.7737 | 600 | 0.2418 | 6.7082 |
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- | 0.0836 | 0.9026 | 700 | 0.2370 | 6.3675 |
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- | 0.0336 | 1.0309 | 800 | 0.2376 | 6.3440 |
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- | 0.0305 | 1.1599 | 900 | 0.2352 | 6.3910 |
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- | 0.0274 | 1.2888 | 1000 | 0.2374 | 6.1266 |
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- | 0.0305 | 1.4178 | 1100 | 0.2336 | 7.0019 |
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- | 0.0324 | 1.5467 | 1200 | 0.2371 | 7.0371 |
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- | 0.0295 | 1.6757 | 1300 | 0.2356 | 7.5364 |
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- | 0.0306 | 1.8046 | 1400 | 0.2326 | 7.1840 |
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- | 0.0341 | 1.9336 | 1500 | 0.2307 | 6.8961 |
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  ### Framework versions
 
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  datasets:
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  - aihub_adult_baseline
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  model-index:
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+ - name: whisper-small-E30_Ypause_speed
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # whisper-small-E30_Ypause_speed
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1850
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+ - Cer: 5.2632
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.2839 | 0.1289 | 100 | 0.2516 | 6.3499 |
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+ | 0.1451 | 0.2579 | 200 | 0.2303 | 6.3440 |
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+ | 0.167 | 0.3868 | 300 | 0.2301 | 6.3205 |
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+ | 0.1308 | 0.5158 | 400 | 0.2191 | 5.9504 |
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+ | 0.1233 | 0.6447 | 500 | 0.2171 | 5.8799 |
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+ | 0.1086 | 0.7737 | 600 | 0.1987 | 5.3454 |
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+ | 0.1031 | 0.9026 | 700 | 0.1966 | 5.3219 |
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+ | 0.0557 | 1.0309 | 800 | 0.1917 | 5.1809 |
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+ | 0.0461 | 1.1599 | 900 | 0.1952 | 5.4276 |
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+ | 0.039 | 1.2888 | 1000 | 0.1918 | 5.1574 |
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+ | 0.0398 | 1.4178 | 1100 | 0.1919 | 5.4629 |
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+ | 0.0414 | 1.5467 | 1200 | 0.1892 | 5.3102 |
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+ | 0.039 | 1.6757 | 1300 | 0.1866 | 5.2690 |
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+ | 0.0414 | 1.8046 | 1400 | 0.1864 | 5.2455 |
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+ | 0.0374 | 1.9336 | 1500 | 0.1850 | 5.2632 |
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  ### Framework versions
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