End of training
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README.md
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metrics:
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- name: Wer
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type: wer
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value: 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-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 0.
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## Model description
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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: 500
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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
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 0.15007215007215008
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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-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3282
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- Wer: 0.1501
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## Model description
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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: 500
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- num_epochs: 300
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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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| 2.3444 | 30.77 | 200 | 2.1940 | 0.9841 |
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| 1.972 | 61.54 | 400 | 1.4582 | 0.8167 |
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| 1.3875 | 92.31 | 600 | 0.8476 | 0.5902 |
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| 0.9092 | 123.08 | 800 | 0.5445 | 0.3636 |
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| 0.6382 | 153.85 | 1000 | 0.4129 | 0.2641 |
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| 0.5789 | 184.62 | 1200 | 0.3497 | 0.1876 |
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| 0.4632 | 215.38 | 1400 | 0.3478 | 0.1616 |
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| 0.4474 | 246.15 | 1600 | 0.3394 | 0.1486 |
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| 0.429 | 276.92 | 1800 | 0.3282 | 0.1501 |
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### Framework versions
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runs/Mar31_08-54-59_ae4be65433ef/events.out.tfevents.1711875323.ae4be65433ef.291.2
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size 11183
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