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End of training
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README.md
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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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model-index:
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- name: zkhf_speech-to-text
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results: []
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 9.1082
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- eval_samples_per_second: 2.196
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- eval_steps_per_second: 0.329
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- epoch: 200.0
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- step: 1000
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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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- training_steps:
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### Framework versions
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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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metrics:
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- wer
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model-index:
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- name: zkhf_speech-to-text
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results: []
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 35.6246
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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: 5
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- training_steps: 10
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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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| No log | 1.0 | 5 | 36.2698 | 1.0 |
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| 48.2162 | 2.0 | 10 | 35.6246 | 1.0 |
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### Framework versions
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model.safetensors
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size 377611120
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