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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- zeroth_korean |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-xlsr-53-fine-tune_korean_byAILAB |
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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: zeroth_korean |
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type: zeroth_korean |
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config: clean |
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split: test |
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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: 0.8577021532901672 |
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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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# wav2vec2-large-xlsr-53-fine-tune_korean_byAILAB |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the zeroth_korean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4406 |
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- Wer: 0.8577 |
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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: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 500 |
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- num_epochs: 50 |
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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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| No log | 0.99 | 38 | 54.3133 | 1.0 | |
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| No log | 2.0 | 77 | 33.5397 | 1.0 | |
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| No log | 2.99 | 115 | 19.6459 | 1.0 | |
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| No log | 4.0 | 154 | 11.1346 | 1.0 | |
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| No log | 4.99 | 192 | 5.8854 | 1.0 | |
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| No log | 6.0 | 231 | 4.8784 | 1.0 | |
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| No log | 6.99 | 269 | 4.8369 | 1.0 | |
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| No log | 8.0 | 308 | 4.8535 | 1.0 | |
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| No log | 8.99 | 346 | 4.8388 | 1.0 | |
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| No log | 10.0 | 385 | 4.8360 | 1.0 | |
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| 15.1801 | 10.99 | 423 | 4.7653 | 1.0 | |
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| 15.1801 | 12.0 | 462 | 4.7385 | 1.0 | |
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| 15.1801 | 12.99 | 500 | 4.6927 | 0.9989 | |
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| 15.1801 | 14.0 | 539 | 4.6673 | 0.9991 | |
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| 15.1801 | 14.99 | 577 | 4.6948 | 0.9991 | |
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| 15.1801 | 16.0 | 616 | 4.6713 | 0.9991 | |
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| 15.1801 | 16.99 | 654 | 4.6603 | 1.0 | |
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| 15.1801 | 18.0 | 693 | 4.6428 | 0.9995 | |
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| 15.1801 | 18.99 | 731 | 4.6520 | 0.9994 | |
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| 15.1801 | 20.0 | 770 | 4.6554 | 0.9967 | |
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| 4.3888 | 20.99 | 808 | 4.6054 | 0.9998 | |
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| 4.3888 | 22.0 | 847 | 4.5723 | 0.9976 | |
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| 4.3888 | 22.99 | 885 | 4.4586 | 0.9967 | |
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| 4.3888 | 24.0 | 924 | 4.2547 | 0.9934 | |
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| 4.3888 | 24.99 | 962 | 3.6554 | 0.9931 | |
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| 4.3888 | 26.0 | 1001 | 2.8387 | 1.0084 | |
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| 4.3888 | 26.99 | 1039 | 2.4191 | 1.0551 | |
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| 4.3888 | 28.0 | 1078 | 2.0997 | 1.0197 | |
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| 4.3888 | 28.99 | 1116 | 2.0103 | 1.0176 | |
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| 4.3888 | 30.0 | 1155 | 1.8189 | 0.9461 | |
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| 4.3888 | 30.99 | 1193 | 1.7623 | 0.9726 | |
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| 2.7217 | 32.0 | 1232 | 1.7383 | 0.9976 | |
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| 2.7217 | 32.99 | 1270 | 1.6522 | 0.9584 | |
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| 2.7217 | 34.0 | 1309 | 1.5558 | 0.9193 | |
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| 2.7217 | 34.99 | 1347 | 1.5811 | 0.9440 | |
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| 2.7217 | 36.0 | 1386 | 1.5208 | 0.9158 | |
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| 2.7217 | 36.99 | 1424 | 1.5088 | 0.9038 | |
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| 2.7217 | 38.0 | 1463 | 1.5039 | 0.9086 | |
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| 2.7217 | 38.99 | 1501 | 1.4853 | 0.8987 | |
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| 2.7217 | 40.0 | 1540 | 1.4799 | 0.8847 | |
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| 2.7217 | 40.99 | 1578 | 1.4259 | 0.8694 | |
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| 0.7635 | 42.0 | 1617 | 1.4878 | 0.8883 | |
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| 0.7635 | 42.99 | 1655 | 1.4394 | 0.8693 | |
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| 0.7635 | 44.0 | 1694 | 1.4623 | 0.8743 | |
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| 0.7635 | 44.99 | 1732 | 1.4495 | 0.8710 | |
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| 0.7635 | 46.0 | 1771 | 1.4463 | 0.8655 | |
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| 0.7635 | 46.99 | 1809 | 1.4553 | 0.8704 | |
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| 0.7635 | 48.0 | 1848 | 1.4500 | 0.8646 | |
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| 0.7635 | 48.99 | 1886 | 1.4387 | 0.8566 | |
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| 0.7635 | 49.35 | 1900 | 1.4406 | 0.8577 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 1.12.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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