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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datasets:
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- xtreme_s
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metrics:
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- wer
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base_model: facebook/wav2vec2-large-xlsr-53
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model-index:
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- name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod2
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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: xtreme_s
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type: xtreme_s
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split: test
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args: fleurs.id_id
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metrics:
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value: 1.0
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name: Wer
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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 xtreme_s dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 1.0
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## Model description
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- total_train_batch_size: 16
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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:
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- num_epochs: 60
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- mixed_precision_training: Native AMP
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:---:|
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| 2.8633 | 53.85 | 700 | 2.8568 | 1.0 |
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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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- xtreme_s
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metrics:
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- wer
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model-index:
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- name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod2
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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: xtreme_s
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type: xtreme_s
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split: test
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args: fleurs.id_id
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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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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9422
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- Wer: 1.0
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## Model description
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- total_train_batch_size: 16
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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: 600
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- num_epochs: 60
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- mixed_precision_training: Native AMP
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:---:|
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| 4.1308 | 9.23 | 300 | 2.8692 | 1.0 |
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| 2.8893 | 18.46 | 600 | 2.8467 | 1.0 |
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| 2.8682 | 27.69 | 900 | 2.8660 | 1.0 |
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| 2.84 | 36.92 | 1200 | 2.7426 | 1.0 |
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| 2.5025 | 46.15 | 1500 | 2.1426 | 1.0 |
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| 2.1729 | 55.38 | 1800 | 1.9422 | 1.0 |
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### Framework versions
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model.safetensors
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runs/Jan29_07-36-48_2971c7500582/events.out.tfevents.1706513856.2971c7500582.8809.0
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size 9348
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