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--- |
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library_name: transformers |
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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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- automatic-speech-recognition |
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- google/fleurs |
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- generated_from_trainer |
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datasets: |
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- fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-common_voice-en-finetune |
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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: GOOGLE/FLEURS - EN_US |
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type: fleurs |
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config: en_us |
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split: test |
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args: 'Config: en_us, Training split: train+validation, Eval split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.25982311149775267 |
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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-en-finetune |
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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 GOOGLE/FLEURS - EN_US dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3436 |
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- Wer: 0.2598 |
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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: 10.0 |
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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 | 1.0870 | 100 | 3.5106 | 1.0 | |
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| No log | 2.1739 | 200 | 2.9226 | 1.0 | |
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| No log | 3.2609 | 300 | 2.8745 | 1.0 | |
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| No log | 4.3478 | 400 | 1.8100 | 0.9804 | |
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| 3.7609 | 5.4348 | 500 | 0.4771 | 0.4207 | |
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| 3.7609 | 6.5217 | 600 | 0.3808 | 0.3484 | |
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| 3.7609 | 7.6087 | 700 | 0.3408 | 0.2872 | |
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| 3.7609 | 8.6957 | 800 | 0.3479 | 0.2719 | |
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| 3.7609 | 9.7826 | 900 | 0.3437 | 0.2604 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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