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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- speech_commands
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
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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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# wav2vec2-conformer-rel-pos-large-finetuned-speech-commands
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This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the speech_commands dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5245
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- Accuracy: 0.9724
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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: 3e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 1024
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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_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.2901 | 1.0 | 83 | 2.0542 | 0.8875 |
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| 1.8375 | 2.0 | 166 | 1.5610 | 0.9316 |
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| 1.4957 | 3.0 | 249 | 1.1850 | 0.9558 |
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| 1.1917 | 4.0 | 332 | 0.9159 | 0.9695 |
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| 1.0449 | 5.0 | 415 | 0.7624 | 0.9687 |
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| 0.9319 | 6.0 | 498 | 0.6444 | 0.9715 |
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| 0.8559 | 7.0 | 581 | 0.5806 | 0.9711 |
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| 0.8199 | 8.0 | 664 | 0.5394 | 0.9721 |
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| 0.7949 | 9.0 | 747 | 0.5245 | 0.9724 |
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| 0.7975 | 10.0 | 830 | 0.5256 | 0.9721 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu102
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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