| ---
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| library_name: transformers
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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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| datasets:
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| - minds14
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| metrics:
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| - wer
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| model-index:
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| - name: misiker/trainer_output
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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: PolyAI/minds14
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| type: minds14
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| config: en-US
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| split: train[:500]
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| args: en-US
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| metrics:
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| - name: Wer
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| type: wer
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| value: 0.9748427672955975
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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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| # misiker/trainer_output
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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 PolyAI/minds14 dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 18.8318
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| - Wer: 0.9748
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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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|
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| More information needed
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|
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| ## Training and evaluation data
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|
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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: 1e-05
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| - train_batch_size: 4
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| - eval_batch_size: 4
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| - seed: 42
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| - gradient_accumulation_steps: 4
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| - total_train_batch_size: 16
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| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: linear
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| - lr_scheduler_warmup_steps: 40
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| - training_steps: 80
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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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| | No log | 0.8 | 20 | 37.9601 | 1.6562 |
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| | 41.3656 | 1.6 | 40 | 20.2900 | 0.9755 |
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| | 18.9017 | 2.4 | 60 | 10.7917 | 0.9734 |
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| | 18.9017 | 3.2 | 80 | 11.6330 | 0.9734 |
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| ### Framework versions
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| - Transformers 4.52.4
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| - Pytorch 2.7.1+cpu
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| - Datasets 3.6.0
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| - Tokenizers 0.21.1
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| |
