EzraWilliam
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End of training
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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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
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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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- 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:
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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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### 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-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod11
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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: 0.35167772861356933
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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: 0.3642
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- Wer: 0.3517
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## Model description
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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: 10
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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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| 2.9446 | 1.0 | 278 | 2.9150 | 1.0 |
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| 2.8395 | 2.0 | 556 | 2.1459 | 1.0 |
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| 0.9822 | 3.0 | 834 | 0.5701 | 0.5534 |
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| 0.6623 | 4.0 | 1112 | 0.4610 | 0.4699 |
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| 0.5834 | 5.0 | 1390 | 0.4262 | 0.4213 |
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| 0.4779 | 6.0 | 1668 | 0.4003 | 0.3908 |
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| 0.4511 | 7.0 | 1946 | 0.3802 | 0.3731 |
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| 0.4298 | 8.0 | 2224 | 0.3814 | 0.3657 |
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| 0.4029 | 9.0 | 2502 | 0.3637 | 0.3575 |
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| 0.3807 | 10.0 | 2780 | 0.3642 | 0.3517 |
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### Framework versions
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model.safetensors
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runs/Apr07_14-11-01_b5fd1070ee73/events.out.tfevents.1712499180.b5fd1070ee73.313.0
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