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--- |
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language: |
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- vi |
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base_model: ylacombe/w2v-bert-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_16_0 |
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- generated_from_trainer |
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datasets: |
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- common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-common_voice-vi-demo |
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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: MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - VI |
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type: common_voice_16_0 |
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config: vi |
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split: test |
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args: 'Config: vi, 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: 1.0 |
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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-vi-demo |
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This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - VI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3958 |
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- Wer: 1.0 |
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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: 0.002 |
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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 | 2.26 | 200 | 3.5924 | 1.0 | |
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| No log | 4.52 | 400 | 3.4946 | 1.0 | |
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| 5.7152 | 6.78 | 600 | 3.4630 | 1.0 | |
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| 5.7152 | 9.04 | 800 | 3.4525 | 1.0 | |
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| 3.5048 | 11.3 | 1000 | 3.4329 | 1.0 | |
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| 3.5048 | 13.56 | 1200 | 3.4074 | 1.0 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.0 |
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