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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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model-index: |
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- name: wav2vec2-base_toy_train_data_random_high_pass |
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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-base_toy_train_data_random_high_pass |
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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: 1.2841 |
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- Wer: 0.7222 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 20 |
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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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| 3.061 | 2.1 | 500 | 3.0551 | 1.0 | |
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| 1.1294 | 4.2 | 1000 | 1.3102 | 0.8777 | |
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| 0.7051 | 6.3 | 1500 | 1.2081 | 0.8092 | |
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| 0.5421 | 8.4 | 2000 | 1.2280 | 0.7684 | |
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| 0.448 | 10.5 | 2500 | 1.2459 | 0.7506 | |
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| 0.3777 | 12.6 | 3000 | 1.3533 | 0.7631 | |
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| 0.3611 | 14.7 | 3500 | 1.2058 | 0.7291 | |
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| 0.3177 | 16.81 | 4000 | 1.3168 | 0.7185 | |
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| 0.279 | 18.91 | 4500 | 1.2841 | 0.7222 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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