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language: |
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- eng |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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tags: |
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- '[finetuned_model, lj_speech11]' |
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- generated_from_trainer |
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datasets: |
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- FYP/LJ-SpeechLJ |
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metrics: |
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- wer |
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model-index: |
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- name: SpeechT5 STT Wav2Vec2 |
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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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# SpeechT5 STT Wav2Vec2 |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the Lj-Speech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 252.7729 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 100 |
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- num_epochs: 5 |
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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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| 130.9264 | 0.5319 | 50 | 256.5228 | 0.9827 | |
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| 134.1007 | 1.0638 | 100 | 256.2832 | 0.9827 | |
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| 131.0841 | 1.5957 | 150 | 253.9561 | 0.9827 | |
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| 132.4283 | 2.1277 | 200 | 254.4677 | 0.9827 | |
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| 137.3693 | 2.6596 | 250 | 254.6855 | 1.0 | |
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| 128.1369 | 3.1915 | 300 | 252.8348 | 1.0 | |
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| 132.3826 | 3.7234 | 350 | 254.7122 | 1.0 | |
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| 130.9401 | 4.2553 | 400 | 254.6629 | 1.0 | |
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| 129.5693 | 4.7872 | 450 | 252.7729 | 1.0 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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