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README.md
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---
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license: apache-2.0
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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: w2v2-base-pretrained_lr5e-5_at0.8_da0.7
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# w2v2-base-pretrained_lr5e-5_at0.8_da0.7
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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: 1.7538
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- Wer: 0.1892
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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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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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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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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| 16.4265 | 7.81 | 250 | 3.9246 | 1.0 |
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| 3.1637 | 15.62 | 500 | 3.1545 | 1.0 |
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| 2.2078 | 23.44 | 750 | 1.2345 | 0.6258 |
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| 0.2629 | 31.25 | 1000 | 1.0938 | 0.2862 |
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| 0.1013 | 39.06 | 1250 | 1.2497 | 0.2482 |
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| 0.061 | 46.88 | 1500 | 1.4009 | 0.1956 |
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| 0.0438 | 54.69 | 1750 | 1.4359 | 0.1935 |
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| 0.0334 | 62.5 | 2000 | 1.6005 | 0.2003 |
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| 0.0256 | 70.31 | 2250 | 1.5475 | 0.1897 |
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| 0.0231 | 78.12 | 2500 | 1.6901 | 0.1914 |
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| 0.0176 | 85.94 | 2750 | 1.6743 | 0.1961 |
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| 0.0164 | 93.75 | 3000 | 1.6498 | 0.1815 |
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| 0.0133 | 101.56 | 3250 | 1.7255 | 0.1897 |
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| 0.0127 | 109.38 | 3500 | 1.7270 | 0.1875 |
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| 0.011 | 117.19 | 3750 | 1.7833 | 0.1918 |
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| 0.0111 | 125.0 | 4000 | 1.7538 | 0.1892 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 377629528
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