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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: wav2vec2-4 |
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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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# wav2vec2-4 |
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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: 3.1442 |
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- Wer: 1.0 |
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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: 32 |
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- eval_batch_size: 8 |
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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: 400 |
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- num_epochs: 30 |
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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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| 5.1303 | 1.37 | 200 | 3.2783 | 1.0 | |
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| 2.8798 | 2.74 | 400 | 3.1233 | 1.0 | |
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| 2.8586 | 4.11 | 600 | 3.1612 | 1.0 | |
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| 2.8613 | 5.48 | 800 | 3.1354 | 1.0 | |
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| 2.8588 | 6.85 | 1000 | 3.2634 | 1.0 | |
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| 2.8572 | 8.22 | 1200 | 3.0905 | 1.0 | |
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| 2.8573 | 9.59 | 1400 | 3.2315 | 1.0 | |
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| 2.8532 | 10.96 | 1600 | 3.0999 | 1.0 | |
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| 2.8567 | 12.33 | 1800 | 3.1496 | 1.0 | |
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| 2.8556 | 13.7 | 2000 | 3.1081 | 1.0 | |
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| 2.8551 | 15.07 | 2200 | 3.1139 | 1.0 | |
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| 2.8545 | 16.44 | 2400 | 3.1621 | 1.0 | |
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| 2.8547 | 17.81 | 2600 | 3.1124 | 1.0 | |
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| 2.8551 | 19.18 | 2800 | 3.1612 | 1.0 | |
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| 2.854 | 20.55 | 3000 | 3.1052 | 1.0 | |
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| 2.8542 | 21.92 | 3200 | 3.1558 | 1.0 | |
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| 2.8544 | 23.29 | 3400 | 3.1370 | 1.0 | |
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| 2.8546 | 24.66 | 3600 | 3.1616 | 1.0 | |
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| 2.8563 | 26.03 | 3800 | 3.1366 | 1.0 | |
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| 2.8514 | 27.4 | 4000 | 3.1434 | 1.0 | |
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| 2.8543 | 28.77 | 4200 | 3.1442 | 1.0 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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