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tigrinya-asr-characters

Automatic Speech Recognition
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wav2vec2
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Samuael/tigrinya-asr-characters

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  1. README.md +25 -25
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 1.0118854673149649
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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
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-37-6](https://huggingface.co/Samuael/asr-amharic-phoneme-based-37-6) on the alffa_amharic dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.2289
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- - Wer: 1.0119
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- - Phoneme Cer: 0.7449
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  ## Model description
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@@ -67,27 +67,27 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Phoneme Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-----------:|
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- | 5.0828 | 0.2312 | 200 | 5.5389 | 1.0 | 1.0 |
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- | 4.9657 | 0.4624 | 400 | 5.2934 | 1.0 | 1.0 |
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- | 4.9164 | 0.6936 | 600 | 5.1868 | 1.0 | 1.0 |
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- | 4.8373 | 0.9249 | 800 | 5.0902 | 1.0 | 1.0 |
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- | 4.6232 | 1.1561 | 1000 | 5.0358 | 1.0 | 1.0 |
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- | 4.6574 | 1.3873 | 1200 | 4.9342 | 1.0 | 1.0 |
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- | 4.5529 | 1.6185 | 1400 | 4.8864 | 1.0 | 1.0 |
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- | 4.5468 | 1.8497 | 1600 | 4.8392 | 1.0 | 1.0 |
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- | 4.4804 | 2.0809 | 1800 | 4.8041 | 1.0 | 1.0 |
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- | 4.4761 | 2.3121 | 2000 | 4.7861 | 1.0 | 1.0 |
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- | 4.4033 | 2.5434 | 2200 | 4.7633 | 1.0 | 1.0 |
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- | 4.4367 | 2.7746 | 2400 | 4.7418 | 1.0 | 0.9940 |
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- | 4.4293 | 3.0058 | 2600 | 4.6574 | 1.0 | 0.9874 |
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- | 4.4015 | 3.2370 | 2800 | 4.6215 | 1.0 | 0.8930 |
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- | 4.323 | 3.4682 | 3000 | 4.5763 | 1.0005 | 0.8455 |
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- | 4.3458 | 3.6994 | 3200 | 4.5150 | 1.0005 | 0.8335 |
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- | 4.2924 | 3.9306 | 3400 | 4.4576 | 1.0 | 0.8174 |
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- | 4.2297 | 4.1618 | 3600 | 4.3967 | 1.0016 | 0.7924 |
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- | 4.1311 | 4.3931 | 3800 | 4.3129 | 1.0011 | 0.7879 |
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- | 4.1137 | 4.6243 | 4000 | 4.2518 | 1.0043 | 0.7616 |
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- | 4.1176 | 4.8555 | 4200 | 4.2289 | 1.0119 | 0.7449 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.5721231766612642
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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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  This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-37-6](https://huggingface.co/Samuael/asr-amharic-phoneme-based-37-6) on the alffa_amharic dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3509
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+ - Wer: 0.5721
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+ - Phoneme Cer: 0.2155
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Phoneme Cer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-----------:|
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+ | 3.8729 | 0.2312 | 200 | 3.8491 | 0.9962 | 0.6422 |
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+ | 3.2897 | 0.4624 | 400 | 3.3571 | 0.9941 | 0.5266 |
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+ | 2.9586 | 0.6936 | 600 | 2.9319 | 0.9433 | 0.4522 |
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+ | 2.5878 | 0.9249 | 800 | 2.5198 | 0.8909 | 0.3965 |
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+ | 2.272 | 1.1561 | 1000 | 2.2232 | 0.8314 | 0.3587 |
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+ | 1.8661 | 1.3873 | 1200 | 2.0279 | 0.7801 | 0.3200 |
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+ | 1.9839 | 1.6185 | 1400 | 1.8774 | 0.7202 | 0.2930 |
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+ | 1.5144 | 1.8497 | 1600 | 1.7565 | 0.6910 | 0.2715 |
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+ | 1.5869 | 2.0809 | 1800 | 1.6566 | 0.6694 | 0.2601 |
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+ | 1.3379 | 2.3121 | 2000 | 1.5864 | 0.6413 | 0.2469 |
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+ | 1.4446 | 2.5434 | 2200 | 1.5409 | 0.6272 | 0.2387 |
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+ | 1.3749 | 2.7746 | 2400 | 1.5214 | 0.6207 | 0.2381 |
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+ | 1.7298 | 3.0058 | 2600 | 1.4709 | 0.6121 | 0.2333 |
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+ | 1.3708 | 3.2370 | 2800 | 1.4397 | 0.5991 | 0.2277 |
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+ | 1.3355 | 3.4682 | 3000 | 1.4168 | 0.5894 | 0.2252 |
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+ | 1.227 | 3.6994 | 3200 | 1.3986 | 0.5900 | 0.2229 |
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+ | 1.4346 | 3.9306 | 3400 | 1.3821 | 0.5862 | 0.2223 |
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+ | 1.0866 | 4.1618 | 3600 | 1.3747 | 0.5829 | 0.2208 |
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+ | 1.1822 | 4.3931 | 3800 | 1.3586 | 0.5764 | 0.2164 |
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+ | 0.927 | 4.6243 | 4000 | 1.3532 | 0.5748 | 0.2164 |
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+ | 1.0948 | 4.8555 | 4200 | 1.3509 | 0.5721 | 0.2155 |
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  ### Framework versions
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