EzraWilliam
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End of training
Browse files
README.md
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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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base_model: facebook/wav2vec2-large-xlsr-53
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datasets:
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- common_voice_13_0
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metrics:
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- name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: common_voice_13_0
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type: common_voice_13_0
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split: test
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args: id
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metrics:
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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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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_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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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:
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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### Framework versions
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---
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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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- generated_from_trainer
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datasets:
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- common_voice_13_0
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metrics:
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- name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18
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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_13_0
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type: common_voice_13_0
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split: test
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args: id
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metrics:
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- name: Wer
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type: wer
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value: 0.4514657079646018
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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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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_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4410
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- Wer: 0.4515
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## Model description
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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: 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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.9144 | 1.0 | 278 | 2.8244 | 1.0 |
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| 0.8558 | 2.0 | 556 | 0.6649 | 0.6956 |
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| 0.4993 | 3.0 | 834 | 0.4831 | 0.5467 |
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| 0.3655 | 4.0 | 1112 | 0.4493 | 0.4805 |
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| 0.291 | 5.0 | 1390 | 0.4419 | 0.4592 |
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| 0.2475 | 6.0 | 1668 | 0.4410 | 0.4515 |
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### Framework versions
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model.safetensors
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runs/Apr27_11-04-28_48adb50f7d17/events.out.tfevents.1714215981.48adb50f7d17.1124.0
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