| ---
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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: wav2vec2_milDB
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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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|
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| # wav2vec2_milDB
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|
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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: 2.6994
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| - Wer: 1.0
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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|
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 0.0001
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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: 5000
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| - mixed_precision_training: Native AMP
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|
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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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| | 2.0257 | 10.9890 | 1000 | 1.6873 | 1.0 |
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| | 1.0671 | 21.9780 | 2000 | 1.6131 | 1.0 |
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| | 2.4045 | 32.9670 | 3000 | 2.6980 | 1.0 |
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| | 2.5542 | 43.9560 | 4000 | 2.7001 | 1.0 |
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| | 2.5504 | 54.9451 | 5000 | 2.6994 | 1.0 |
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| ### Framework versions
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| - Transformers 4.40.2
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| - Pytorch 2.5.1+cu118
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| - Datasets 3.1.0
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| - Tokenizers 0.19.1
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|
