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--- |
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language: |
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- lt |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- common_voice |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-common_voice-lithuanian |
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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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# wav2vec2-common_voice-lithuanian |
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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 - LT dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5988 |
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- Wer: 0.6546 |
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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: 15.0 |
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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 | 2.7 | 100 | 3.5524 | 1.0 | |
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| No log | 5.41 | 200 | 3.0275 | 1.0 | |
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| No log | 8.11 | 300 | 1.8796 | 1.0003 | |
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| No log | 10.81 | 400 | 0.6796 | 0.7686 | |
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| 3.3102 | 13.51 | 500 | 0.6373 | 0.7297 | |
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### Framework versions |
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- Transformers 4.19.0.dev0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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