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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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- automatic-speech-recognition |
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- edinburghcstr/ami |
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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-large-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: EDINBURGHCSTR/AMI - IHM |
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type: ami |
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config: ihm |
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split: None |
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args: 'Config: ihm, Training split: train, Eval split: validation' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.9958454640117305 |
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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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# wav2vec2-large-ami-fine-tuned |
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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 EDINBURGHCSTR/AMI - IHM dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9555 |
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- Wer: 0.9958 |
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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: 0.00014 |
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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: 1000 |
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- num_epochs: 2.0 |
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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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| 1.5455 | 0.1565 | 1000 | 1.3698 | 0.8373 | |
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| 1.3019 | 0.3131 | 2000 | 0.7275 | 0.4146 | |
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| 0.9922 | 0.4696 | 3000 | 0.6047 | 0.3663 | |
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| 0.5129 | 0.6262 | 4000 | 0.5773 | 0.3658 | |
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| 0.85 | 0.7827 | 5000 | 0.5387 | 0.3538 | |
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| 1.4588 | 0.9393 | 6000 | 0.5581 | 0.3326 | |
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| 0.2646 | 1.0958 | 7000 | 0.5216 | 0.3294 | |
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| 0.1923 | 1.2523 | 8000 | 0.4975 | 0.3159 | |
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| 0.2897 | 1.4089 | 9000 | 0.4757 | 0.3066 | |
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| 0.1536 | 1.5654 | 10000 | 0.4784 | 0.3066 | |
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| 0.3964 | 1.7220 | 11000 | 0.4899 | 0.3097 | |
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| 1.1026 | 1.8785 | 12000 | 0.9830 | 0.8711 | |
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### Framework versions |
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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 |
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