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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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# d-l-dl |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4495 |
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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: 0.0003 |
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- train_batch_size: 16 |
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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: 32 |
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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: 800 |
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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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| 42.4143 | 49.8 | 100 | 21.5116 | 1.0 | |
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| 5.9884 | 99.8 | 200 | 31.7976 | 1.0 | |
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| 4.0043 | 149.8 | 300 | 3.4829 | 1.0 | |
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| 3.653 | 199.8 | 400 | 3.6417 | 1.0 | |
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| 3.5207 | 249.8 | 500 | 3.5081 | 1.0 | |
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| 3.63 | 299.8 | 600 | 3.4836 | 1.0 | |
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| 3.648 | 349.8 | 700 | 3.4515 | 1.0 | |
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| 3.6448 | 399.8 | 800 | 3.4647 | 1.0 | |
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| 3.6872 | 449.8 | 900 | 3.4371 | 1.0 | |
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| 3.6892 | 499.8 | 1000 | 3.4337 | 1.0 | |
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| 3.684 | 549.8 | 1100 | 3.4375 | 1.0 | |
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| 3.6843 | 599.8 | 1200 | 3.4452 | 1.0 | |
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| 3.6842 | 649.8 | 1300 | 3.4416 | 1.0 | |
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| 3.6819 | 699.8 | 1400 | 3.4498 | 1.0 | |
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| 3.6832 | 749.8 | 1500 | 3.4524 | 1.0 | |
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| 3.6828 | 799.8 | 1600 | 3.4495 | 1.0 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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