| | ---
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| | library_name: transformers
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| | license: apache-2.0
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| | base_model: facebook/wav2vec2-base
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| | tags:
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| | - generated_from_trainer
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| | datasets:
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| | - common_voice_17_0
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| | metrics:
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| | - wer
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| | model-index:
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| | - name: wav2vec2_common_voice17_finetuning
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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_17_0
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| | type: common_voice_17_0
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| | config: ro
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| | split: test
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| | args: ro
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
|
| | # wav2vec2_common_voice17_finetuning
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| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_17_0 dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.4054
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| | - Wer: 1.0
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 0.0001
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| | - train_batch_size: 32
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| | - eval_batch_size: 8
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| | - seed: 42
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| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - lr_scheduler_warmup_steps: 500
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| | - training_steps: 5000
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| | - mixed_precision_training: Native AMP
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss | Wer |
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| | |:-------------:|:-------:|:----:|:---------------:|:------:|
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| | | 0.6577 | 3.5461 | 1000 | 0.4788 | 0.9997 |
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| | | 0.2893 | 7.0922 | 2000 | 0.4086 | 1.0 |
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| | | 0.1997 | 10.6383 | 3000 | 0.4135 | 0.9997 |
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| | | 0.156 | 14.1844 | 4000 | 0.4051 | 0.9992 |
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| | | 0.138 | 17.7305 | 5000 | 0.4054 | 1.0 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.49.0
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| | - Pytorch 2.4.1+cu124
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| | - Datasets 2.21.0
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| | - Tokenizers 0.21.0
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| | |
