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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-xlsr-53-Bangla |
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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: common_voice_11_0 |
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type: common_voice_11_0 |
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config: bn |
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split: train+validation |
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args: bn |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.5442110214000156 |
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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-53-Bangla |
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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_11_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6125 |
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- Wer: 0.5442 |
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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: 0.0004 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 4.6881 | 2.28 | 600 | 1.0325 | 0.9634 | |
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| 0.8087 | 4.56 | 1200 | 0.6090 | 0.7430 | |
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| 0.5089 | 6.84 | 1800 | 0.5156 | 0.6615 | |
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| 0.3864 | 9.13 | 2400 | 0.5287 | 0.6676 | |
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| 0.3064 | 11.41 | 3000 | 0.5411 | 0.6278 | |
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| 0.2535 | 13.69 | 3600 | 0.5206 | 0.6149 | |
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| 0.216 | 15.97 | 4200 | 0.5596 | 0.6120 | |
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| 0.1852 | 18.25 | 4800 | 0.5658 | 0.5821 | |
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| 0.1653 | 20.53 | 5400 | 0.5938 | 0.5521 | |
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| 0.1499 | 22.81 | 6000 | 0.5825 | 0.5645 | |
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| 0.1323 | 25.09 | 6600 | 0.6151 | 0.5593 | |
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| 0.122 | 27.38 | 7200 | 0.6046 | 0.5556 | |
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| 0.1118 | 29.66 | 7800 | 0.6125 | 0.5442 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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