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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: test-whisper-tiny-th |
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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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# test-whisper-tiny-th |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8875 |
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- Cer: 34.9798 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| No log | 1.0 | 7 | 0.9713 | 37.2984 | |
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| 1.1414 | 2.0 | 14 | 0.9285 | 34.4758 | |
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| 0.8953 | 3.0 | 21 | 0.9022 | 35.2823 | |
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| 0.8953 | 4.0 | 28 | 0.8911 | 52.9234 | |
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| 0.8159 | 5.0 | 35 | 0.8875 | 34.9798 | |
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| Model | WER (CV18) | WER (Gowejee) | WER (LOTUS-TRD) | WER (Thai Dialect) | WER (Elderly) | WER (Gigaspeech2) | WER (Fleurs) | WER (Distant Meeting) | WER (Podcast) | |
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|:----------------------------------------|:----------------------:|:-------------------------:|:----------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:| |
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| whisper-large-v3 | 18.75 | 46.59 | 48.14 | 57.82 | 12.27 | 33.26 | 24.08 | 72.57 | 41.24 | |
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| airesearch-wav2vec2-large-xlsr-53-th | 8.49 | 17.28 | 63.01 | 48.53 | 11.29 | 52.72 | 37.32 | 85.11 | 65.12 | |
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| thonburian-whisper-th-large-v3-combined | 7.62 | 22.06 | 41.95 | 26.53 | 1.63 | 25.22 | 13.90 | 64.68 | 32.42 | |
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| monsoon-whisper-medium-gigaspeech2 | 11.66 | 20.50 | 41.04 | 42.06 | 7.57 | 21.40 | 21.54 | 51.65 | 38.89 | |
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| pathumma-whisper-th-large-v3 | 8.68 | 9.84 | 15.47 | 19.85 | 1.53 | 21.66 | 15.65 | 51.56 | 36.47 | |
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| Model | ASR-th CV18 th (WER↓) | ASR-en CV18 En (WER↓) | ASR-en Librispeech En (WER↓) | ThaiSER Emotion (Acc↑, F1↑)| ThaiSER Gender (Acc↑, F1↑) | |
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|:----------------------------:|:------------------------:|:------------------------:|:------------------------------:|:------------------:|:--------------------:| |
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| Typhoon-Audio-Preview | 13.26 | 13.34 (partial result) | 5.07 (partial result) | 41.50, 33.48 | 96.20, 96.69 | |
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| DIVA | 69.15 (partial result) | 37.40 | 49.06 | 18.64, 8.16 | 47.50, 35.90 | |
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| Gemini-1.5-Pro | 16.49 | 12.94 | 25.83 | 26.00, 18.26 | 79.66, 77.32 | |
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| Pathumma-llm-audio-1.0.0 | 12.03 | 12.20 | 11.36 | 42.30, 36.88 | 90.30, 92.07 | |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| No log | 1.0 | 7 | 0.9713 | 37.2984 | |
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| 1.1414 | 2.0 | 14 | 0.9285 | 34.4758 | |
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| 0.8953 | 3.0 | 21 | 0.9022 | 35.2823 | |
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| 0.8953 | 4.0 | 28 | 0.8911 | 52.9234 | |
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| 0.8159 | 5.0 | 35 | 0.8875 | 34.9798 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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## Citation |
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``` |
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@misc{tipkasorn2024pathumma, |
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title = { {Pathumma-Audio} }, |
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author = { Pattara Tipkasorn and Wayupuk Sommuang and Oatsada Chatthong and Kwanchiva Thangthai }, |
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url = { https://huggingface.co/nectec/Pathumma-llm-audio-1.0.0 }, |
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publisher = { Hugging Face }, |
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year = { 2024 }, |
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} |
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``` |
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## Citation |
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``` |
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@misc{tipkasorn2024PatWhisper, |
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title = { {Pathumma Whisper Large V3 (TH)} }, |
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author = { Pattara Tipkasorn and Wayupuk Sommuang and Oatsada Chatthong and Kwanchiva Thangthai }, |
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url = { https://huggingface.co/nectec/Pathumma-whisper-th-large-v3 }, |
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publisher = { Hugging Face }, |
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year = { 2024 }, |
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} |
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``` |
