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--- |
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base_model: facebook/wav2vec2-xls-r-300m |
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datasets: |
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- fleurs |
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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-xlsr-fula-google-fleurs-5-hours |
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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: ff_sn |
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split: None |
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args: ff_sn |
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metrics: |
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- type: wer |
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value: 0.646049896049896 |
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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-xlsr-fula-google-fleurs-5-hours |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1949 |
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- Wer: 0.6460 |
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- Cer: 0.2359 |
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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: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 7.1138 | 10.96 | 200 | 2.9561 | 1.0 | 1.0 | |
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| 2.8708 | 21.92 | 400 | 2.0221 | 1.0 | 0.6369 | |
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| 1.0031 | 32.88 | 600 | 0.9750 | 0.6509 | 0.2222 | |
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| 0.4471 | 43.84 | 800 | 1.1949 | 0.6460 | 0.2359 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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