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Samuael
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tigrinya-asr-characters

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files
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Samuael/tigrinya-asr-characters

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Files changed (3) hide show
  1. README.md +29 -20
  2. model.safetensors +1 -1
  3. training_args.bin +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: 1.0
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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: 5.7515
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- - Wer: 1.0
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- - Phoneme Cer: 1.0
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  ## Model description
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@@ -54,31 +54,40 @@ 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: 3e-05
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Phoneme Cer |
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- |:-------------:|:------:|:----:|:---------------:|:---:|:-----------:|
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- | 6.9297 | 0.2312 | 200 | 8.0879 | 1.0 | 1.0 |
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- | 6.3204 | 0.4624 | 400 | 7.6363 | 1.0 | 1.0 |
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- | 6.1425 | 0.6936 | 600 | 7.2266 | 1.0 | 1.0 |
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- | 5.936 | 0.9249 | 800 | 6.8506 | 1.0 | 1.0 |
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- | 5.5689 | 1.1561 | 1000 | 6.7441 | 1.0 | 1.0 |
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- | 5.5054 | 1.3873 | 1200 | 6.4326 | 1.0 | 1.0 |
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- | 5.5138 | 1.6185 | 1400 | 6.3467 | 1.0 | 1.0 |
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- | 5.4229 | 1.8497 | 1600 | 6.1142 | 1.0 | 1.0 |
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- | 5.1684 | 2.0809 | 1800 | 6.0052 | 1.0 | 1.0 |
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- | 5.1601 | 2.3121 | 2000 | 5.9630 | 1.0 | 1.0 |
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- | 5.1866 | 2.5434 | 2200 | 5.9521 | 1.0 | 1.0 |
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- | 5.0475 | 2.7746 | 2400 | 5.7515 | 1.0 | 1.0 |
 
 
 
 
 
 
 
 
 
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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: 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
 
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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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  ### 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: 32
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 5
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  ### Training results
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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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