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jethrowang
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webcam_emb-whisper-tiny

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Chinese
whisper
Generated from Trainer
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xet
Metrics Community
jethrowang commited on
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  1. README.md +25 -25
README.md CHANGED
@@ -8,19 +8,19 @@ tags:
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  datasets:
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  - formospeech/hat_asr_aligned
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  model-index:
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- - name: Whisper Tiny Hakka Condenser
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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 Tiny Hakka Condenser
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2092
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- - Cer: 12.0743
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 64
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  - eval_batch_size: 32
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  - seed: 42
@@ -53,26 +53,26 @@ 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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- | 1.186 | 0.9980 | 488 | 1.2024 | 49.3007 |
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- | 0.3895 | 1.9959 | 976 | 0.4851 | 26.5471 |
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- | 0.2054 | 2.9939 | 1464 | 0.3152 | 17.7208 |
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- | 0.1232 | 3.9918 | 1952 | 0.2593 | 16.5314 |
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- | 0.0844 | 4.9898 | 2440 | 0.2355 | 14.3364 |
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- | 0.0557 | 5.9877 | 2928 | 0.2269 | 15.5339 |
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- | 0.0367 | 6.9857 | 3416 | 0.2197 | 13.5042 |
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- | 0.0265 | 7.9836 | 3904 | 0.2149 | 13.1851 |
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- | 0.0199 | 8.9816 | 4392 | 0.2107 | 13.2591 |
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- | 0.0131 | 9.9796 | 4880 | 0.2113 | 14.0000 |
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- | 0.0084 | 10.9775 | 5368 | 0.2118 | 14.3977 |
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- | 0.006 | 11.9755 | 5856 | 0.2103 | 14.0104 |
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- | 0.0046 | 12.9734 | 6344 | 0.2109 | 13.5192 |
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- | 0.0036 | 13.9714 | 6832 | 0.2086 | 13.4972 |
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- | 0.003 | 14.9693 | 7320 | 0.2074 | 13.3643 |
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- | 0.0027 | 15.9673 | 7808 | 0.2083 | 13.7666 |
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- | 0.0023 | 16.9652 | 8296 | 0.2095 | 12.4280 |
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- | 0.0021 | 17.9632 | 8784 | 0.2105 | 12.3968 |
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- | 0.0019 | 18.9611 | 9272 | 0.2095 | 12.4581 |
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- | 0.0018 | 19.9591 | 9760 | 0.2092 | 12.0743 |
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  ### Framework versions
 
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  datasets:
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  - formospeech/hat_asr_aligned
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  model-index:
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+ - name: Whisper Tiny Hakka Simulated Webcam
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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 Tiny Hakka Simulated Webcam
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1323
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+ - Cer: 7.3156
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 64
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Cer |
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  |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 0.2495 | 0.9980 | 488 | 0.3384 | 23.3014 |
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+ | 0.1352 | 1.9959 | 976 | 0.2472 | 16.6320 |
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+ | 0.0854 | 2.9939 | 1464 | 0.2133 | 16.6389 |
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+ | 0.0447 | 3.9918 | 1952 | 0.1956 | 22.4831 |
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+ | 0.0282 | 4.9898 | 2440 | 0.1921 | 12.4096 |
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+ | 0.0167 | 5.9877 | 2928 | 0.1670 | 10.9682 |
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+ | 0.0115 | 6.9857 | 3416 | 0.1833 | 10.5590 |
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+ | 0.0078 | 7.9836 | 3904 | 0.1591 | 9.6204 |
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+ | 0.0057 | 8.9816 | 4392 | 0.1568 | 10.5324 |
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+ | 0.0037 | 9.9796 | 4880 | 0.1684 | 10.1371 |
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+ | 0.0036 | 10.9775 | 5368 | 0.1626 | 10.8352 |
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+ | 0.0015 | 11.9755 | 5856 | 0.1451 | 10.4226 |
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+ | 0.0016 | 12.9734 | 6344 | 0.1562 | 10.2099 |
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+ | 0.0007 | 13.9714 | 6832 | 0.1575 | 8.7731 |
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+ | 0.0004 | 14.9693 | 7320 | 0.1395 | 9.8597 |
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+ | 0.0006 | 15.9673 | 7808 | 0.1421 | 8.3316 |
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+ | 0.0003 | 16.9652 | 8296 | 0.1345 | 7.5433 |
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+ | 0.0001 | 17.9632 | 8784 | 0.1322 | 7.8692 |
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+ | 0.0001 | 18.9611 | 9272 | 0.1326 | 7.3630 |
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+ | 0.0001 | 19.9591 | 9760 | 0.1323 | 7.3156 |
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  ### Framework versions