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--- |
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language: |
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- es |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- common_voice |
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- generated_from_trainer |
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- es |
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- robust-speech-event |
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- hf-asr-leaderboard |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-cls-r-300m-es |
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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 7 |
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type: mozilla-foundation/common_voice_7_0 |
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args: es |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 37.37 |
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- name: Test CER |
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type: cer |
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value: 7.11 |
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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: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: es |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 55.69 |
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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: Robust Speech Event - Test Data |
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type: speech-recognition-community-v2/eval_data |
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args: es |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 57.28 |
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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-cls-r-300m-es |
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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 COMMON_VOICE - ES dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5160 |
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- Wer: 0.4016 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8.0 |
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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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| 3.1277 | 1.14 | 500 | 2.0259 | 0.9999 | |
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| 1.4111 | 2.28 | 1000 | 1.1251 | 0.8894 | |
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| 0.8461 | 3.42 | 1500 | 0.8205 | 0.7244 | |
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| 0.5042 | 4.57 | 2000 | 0.6116 | 0.5463 | |
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| 0.3072 | 5.71 | 2500 | 0.5507 | 0.4506 | |
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| 0.2181 | 6.85 | 3000 | 0.5213 | 0.4177 | |
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| 0.1608 | 7.99 | 3500 | 0.5161 | 0.4019 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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#### Evaluation Commands |
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1. To evaluate on `mozilla-foundation/common_voice_7_0` with split `test` |
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```bash |
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python eval.py --model_id samitizerxu/wav2vec2-xls-r-300m-es --dataset mozilla-foundation/common_voice_7_0 --config es --split test |
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``` |
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2. To evaluate on `speech-recognition-community-v2/dev_data` |
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```bash |
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python eval.py --model_id samitizerxu/wav2vec2-xls-r-300m-es --dataset speech-recognition-community-v2/dev_data --config es --split validation --chunk_length_s 5.0 --stride_length_s 1.0 |
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``` |
