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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: Samuael/asr-amharic-phoneme-based-37-6 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- alffa_amharic |
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metrics: |
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- wer |
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model-index: |
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- name: tigrinya-asr-characters |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: alffa_amharic |
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type: alffa_amharic |
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config: clean |
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split: None |
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args: clean |
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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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should probably proofread and complete it, then remove this comment. --> |
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# tigrinya-asr-characters |
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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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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: 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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| 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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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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