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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-large-lv60
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - ami
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: wav2vec2-base-ami-fine-tuned
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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: ami
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+ type: ami
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+ config: ihm
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+ split: None
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+ args: ihm
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.31977176615593855
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+ ---
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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-base-ami-fine-tuned
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the ami dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5417
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+ - Wer: 0.3198
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+
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+ ## Model description
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+
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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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+
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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: 16
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+ - eval_batch_size: 16
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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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+ - num_epochs: 2.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:-----:|:---------------:|:------:|
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+ | 1.0732 | 0.1565 | 1000 | 1.1351 | 0.6738 |
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+ | 1.4052 | 0.3131 | 2000 | 0.7311 | 0.4083 |
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+ | 0.8798 | 0.4696 | 3000 | 0.5889 | 0.3604 |
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+ | 0.4789 | 0.6262 | 4000 | 0.5681 | 0.3521 |
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+ | 0.8011 | 0.7827 | 5000 | 0.5288 | 0.3382 |
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+ | 1.4331 | 0.9393 | 6000 | 0.5386 | 0.3280 |
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+ | 0.2201 | 1.0958 | 7000 | 0.5154 | 0.3198 |
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+ | 0.1934 | 1.2523 | 8000 | 0.4895 | 0.3131 |
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+ | 0.2713 | 1.4089 | 9000 | 0.4809 | 0.3065 |
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+ | 0.1388 | 1.5654 | 10000 | 0.4984 | 0.3061 |
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+ | 0.4085 | 1.7220 | 11000 | 0.4842 | 0.3082 |
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+ | 0.3529 | 1.8785 | 12000 | 0.5417 | 0.3198 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.3.0a0+gitcd033a1
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1