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--- |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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datasets: |
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- common_voice_17_0 |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-large-xlsr-Mongolian-cv17-base |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: common_voice_17_0 |
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type: common_voice_17_0 |
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config: mn |
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split: validation |
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args: mn |
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metrics: |
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- type: wer |
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value: 0.7902951968892054 |
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name: Wer |
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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-Mongolian-cv17-base |
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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 common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9632 |
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- Wer: 0.7903 |
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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: 20 |
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- mixed_precision_training: Native AMP |
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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 | 1.1940 | 40 | 13.1486 | 1.0009 | |
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| No log | 2.3881 | 80 | 7.6639 | 1.0 | |
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| No log | 3.5821 | 120 | 3.4345 | 1.0 | |
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| No log | 4.7761 | 160 | 3.1527 | 1.0 | |
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| No log | 5.9701 | 200 | 3.1223 | 1.0 | |
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| No log | 7.1642 | 240 | 3.1137 | 1.0 | |
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| No log | 8.3582 | 280 | 3.1017 | 1.0 | |
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| No log | 9.5522 | 320 | 3.0909 | 1.0 | |
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| No log | 10.7463 | 360 | 3.0363 | 1.0 | |
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| 5.1112 | 11.9403 | 400 | 2.8364 | 1.0 | |
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| 5.1112 | 13.1343 | 440 | 2.0134 | 1.0078 | |
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| 5.1112 | 14.3284 | 480 | 1.3866 | 1.0511 | |
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| 5.1112 | 15.5224 | 520 | 1.1292 | 0.9320 | |
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| 5.1112 | 16.7164 | 560 | 1.0117 | 0.9017 | |
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| 5.1112 | 17.9104 | 600 | 0.9756 | 0.8339 | |
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| 5.1112 | 19.1045 | 640 | 0.9632 | 0.7903 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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