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--- |
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license: apache-2.0 |
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base_model: Samuael/asr-alffamharic-phoneme-based |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: asr-alffamharic-phoneme-based |
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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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# asr-alffamharic-phoneme-based |
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This model is a fine-tuned version of [Samuael/asr-alffamharic-phoneme-based](https://huggingface.co/Samuael/asr-alffamharic-phoneme-based) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4498 |
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- Wer: 0.1084 |
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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: 5e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.2273 | 0.59 | 200 | 1.0408 | 0.3569 | |
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| 0.7702 | 1.18 | 400 | 0.8009 | 0.2169 | |
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| 0.6769 | 1.76 | 600 | 0.6978 | 0.1869 | |
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| 0.5454 | 2.35 | 800 | 0.6163 | 0.1696 | |
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| 0.5779 | 2.94 | 1000 | 0.5616 | 0.1554 | |
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| 0.4996 | 3.53 | 1200 | 0.5413 | 0.1437 | |
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| 0.5648 | 4.12 | 1400 | 0.5111 | 0.1439 | |
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| 0.4741 | 4.71 | 1600 | 0.5178 | 0.1371 | |
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| 0.499 | 5.29 | 1800 | 0.4943 | 0.1324 | |
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| 0.4247 | 5.88 | 2000 | 0.4884 | 0.1279 | |
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| 0.4008 | 6.47 | 2200 | 0.4667 | 0.1254 | |
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| 0.2744 | 7.06 | 2400 | 0.4626 | 0.1288 | |
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| 0.3495 | 7.65 | 2600 | 0.4794 | 0.1229 | |
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| 0.4016 | 8.24 | 2800 | 0.4548 | 0.1228 | |
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| 0.3833 | 8.82 | 3000 | 0.4660 | 0.1209 | |
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| 0.3684 | 9.41 | 3200 | 0.4463 | 0.1235 | |
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| 0.4149 | 10.0 | 3400 | 0.4697 | 0.1171 | |
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| 0.3917 | 10.59 | 3600 | 0.4570 | 0.1188 | |
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| 0.2957 | 11.18 | 3800 | 0.4431 | 0.1171 | |
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| 0.3054 | 11.76 | 4000 | 0.4530 | 0.1163 | |
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| 0.2755 | 12.35 | 4200 | 0.4690 | 0.1138 | |
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| 0.3091 | 12.94 | 4400 | 0.4551 | 0.1157 | |
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| 0.2617 | 13.53 | 4600 | 0.4557 | 0.1147 | |
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| 0.2725 | 14.12 | 4800 | 0.4670 | 0.1088 | |
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| 0.2795 | 14.71 | 5000 | 0.4486 | 0.1118 | |
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| 0.3493 | 15.29 | 5200 | 0.4471 | 0.1109 | |
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| 0.2949 | 15.88 | 5400 | 0.4469 | 0.1090 | |
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| 0.2802 | 16.47 | 5600 | 0.4516 | 0.1100 | |
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| 0.2655 | 17.06 | 5800 | 0.4418 | 0.1105 | |
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| 0.3211 | 17.65 | 6000 | 0.4351 | 0.1095 | |
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| 0.2245 | 18.24 | 6200 | 0.4436 | 0.1093 | |
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| 0.2244 | 18.82 | 6400 | 0.4493 | 0.1091 | |
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| 0.2549 | 19.41 | 6600 | 0.4502 | 0.1082 | |
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| 0.3528 | 20.0 | 6800 | 0.4498 | 0.1084 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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