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--- |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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datasets: |
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- fleurs |
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library_name: transformers |
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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-oria-v0 |
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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: fleurs |
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type: fleurs |
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config: or_in |
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split: None |
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args: or_in |
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metrics: |
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- type: wer |
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value: 0.4972150445018662 |
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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-oria-v0 |
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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 fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6050 |
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- Wer: 0.4972 |
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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: 30 |
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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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| 6.6722 | 2.1505 | 100 | 5.4667 | 1.0 | |
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| 3.4956 | 4.3011 | 200 | 3.4905 | 1.0 | |
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| 3.4526 | 6.4516 | 300 | 3.4624 | 1.0 | |
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| 3.4548 | 8.6022 | 400 | 3.4494 | 1.0 | |
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| 3.4352 | 10.7527 | 500 | 3.4267 | 1.0 | |
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| 3.0335 | 12.9032 | 600 | 2.8300 | 1.0 | |
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| 1.021 | 15.0538 | 700 | 0.9941 | 0.7938 | |
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| 0.6175 | 17.2043 | 800 | 0.7318 | 0.6385 | |
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| 0.5257 | 19.3548 | 900 | 0.6485 | 0.5820 | |
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| 0.4232 | 21.5054 | 1000 | 0.6105 | 0.5430 | |
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| 0.3202 | 23.6559 | 1100 | 0.5906 | 0.5192 | |
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| 0.2767 | 25.8065 | 1200 | 0.6025 | 0.5079 | |
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| 0.2679 | 27.9570 | 1300 | 0.6050 | 0.4972 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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