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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_byAILAB2 |
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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: 0.9067911459117602 |
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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_byAILAB2 |
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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: 1.4929 |
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- Wer: 0.9068 |
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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: 0.0002 |
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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 | 54.4059 | 1.0 | |
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| No log | 2.0 | 77 | 38.8388 | 1.0 | |
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| No log | 2.99 | 115 | 24.1740 | 1.0 | |
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| No log | 4.0 | 154 | 16.4733 | 1.0 | |
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| No log | 4.99 | 192 | 10.1900 | 1.0 | |
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| No log | 6.0 | 231 | 6.0076 | 1.0 | |
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| No log | 6.99 | 269 | 4.8990 | 1.0 | |
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| No log | 8.0 | 308 | 4.8442 | 1.0 | |
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| No log | 8.99 | 346 | 4.8284 | 1.0 | |
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| No log | 10.0 | 385 | 4.8316 | 1.0 | |
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| 16.886 | 10.99 | 423 | 4.8164 | 1.0 | |
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| 16.886 | 12.0 | 462 | 4.7815 | 1.0 | |
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| 16.886 | 12.99 | 500 | 4.7204 | 0.9989 | |
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| 16.886 | 14.0 | 539 | 4.6842 | 0.9989 | |
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| 16.886 | 14.99 | 577 | 4.6641 | 0.9994 | |
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| 16.886 | 16.0 | 616 | 4.6527 | 1.0 | |
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| 16.886 | 16.99 | 654 | 4.6745 | 0.9992 | |
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| 16.886 | 18.0 | 693 | 4.6591 | 1.0 | |
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| 16.886 | 18.99 | 731 | 4.6506 | 0.9997 | |
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| 16.886 | 20.0 | 770 | 4.6719 | 0.9967 | |
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| 4.4391 | 20.99 | 808 | 4.6067 | 0.9968 | |
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| 4.4391 | 22.0 | 847 | 4.5748 | 0.9968 | |
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| 4.4391 | 22.99 | 885 | 4.5166 | 0.9962 | |
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| 4.4391 | 24.0 | 924 | 4.3783 | 0.9926 | |
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| 4.4391 | 24.99 | 962 | 4.2711 | 0.9913 | |
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| 4.4391 | 26.0 | 1001 | 3.6515 | 1.0030 | |
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| 4.4391 | 26.99 | 1039 | 3.1057 | 1.0640 | |
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| 4.4391 | 28.0 | 1078 | 2.6593 | 1.0742 | |
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| 4.4391 | 28.99 | 1116 | 2.4071 | 1.0587 | |
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| 4.4391 | 30.0 | 1155 | 2.2041 | 1.0379 | |
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| 4.4391 | 30.99 | 1193 | 2.0495 | 1.0319 | |
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| 3.1722 | 32.0 | 1232 | 1.9754 | 1.0459 | |
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| 3.1722 | 32.99 | 1270 | 1.8658 | 0.9968 | |
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| 3.1722 | 34.0 | 1309 | 1.7887 | 0.9883 | |
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| 3.1722 | 34.99 | 1347 | 1.7560 | 0.9776 | |
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| 3.1722 | 36.0 | 1386 | 1.6987 | 0.9675 | |
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| 3.1722 | 36.99 | 1424 | 1.6513 | 0.9443 | |
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| 3.1722 | 38.0 | 1463 | 1.6187 | 0.9473 | |
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| 3.1722 | 38.99 | 1501 | 1.6210 | 0.9408 | |
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| 3.1722 | 40.0 | 1540 | 1.5957 | 0.9458 | |
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| 3.1722 | 40.99 | 1578 | 1.5673 | 0.9246 | |
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| 1.2364 | 42.0 | 1617 | 1.5748 | 0.9286 | |
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| 1.2364 | 42.99 | 1655 | 1.5333 | 0.9217 | |
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| 1.2364 | 44.0 | 1694 | 1.5138 | 0.9100 | |
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| 1.2364 | 44.99 | 1732 | 1.5244 | 0.9223 | |
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| 1.2364 | 46.0 | 1771 | 1.5041 | 0.9080 | |
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| 1.2364 | 46.99 | 1809 | 1.5151 | 0.9155 | |
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| 1.2364 | 48.0 | 1848 | 1.4955 | 0.9077 | |
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| 1.2364 | 48.99 | 1886 | 1.4924 | 0.9065 | |
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| 1.2364 | 49.35 | 1900 | 1.4929 | 0.9068 | |
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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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