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--- |
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base_model: facebook/wav2vec2-base-960h |
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datasets: |
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- FYP/LJ-Speech1111LJ |
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language: |
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- eng |
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license: apache-2.0 |
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tags: |
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- '[finetuned_model, lj_speech11]' |
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- generated_from_trainer |
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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: 509.3571 |
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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: 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: 100 |
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- num_epochs: 3 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 19536.3975 | 0.1376 | 50 | 8125.4639 | |
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| 2673.9081 | 0.2751 | 100 | 909.8571 | |
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| 1958.4278 | 0.4127 | 150 | 544.6085 | |
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| 1268.7548 | 0.5502 | 200 | 555.2729 | |
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| 1504.7081 | 0.6878 | 250 | 520.7637 | |
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| 1322.1669 | 0.8253 | 300 | 572.5987 | |
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| 1331.9734 | 0.9629 | 350 | 514.8672 | |
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| 1149.1491 | 1.1004 | 400 | 525.9183 | |
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| 1063.02 | 1.2380 | 450 | 511.6159 | |
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| 1063.2695 | 1.3755 | 500 | 521.9377 | |
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| 1037.6037 | 1.5131 | 550 | 511.7293 | |
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| 1065.5638 | 1.6506 | 600 | 510.2425 | |
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| 1025.7576 | 1.7882 | 650 | 506.2704 | |
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| 1132.412 | 1.9257 | 700 | 525.5427 | |
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| 1033.8723 | 2.0633 | 750 | 506.9381 | |
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| 1027.0328 | 2.2008 | 800 | 513.5829 | |
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| 1024.9632 | 2.3384 | 850 | 518.4105 | |
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| 1023.1637 | 2.4759 | 900 | 515.6079 | |
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| 1006.7498 | 2.6135 | 950 | 513.5686 | |
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| 1026.8645 | 2.7510 | 1000 | 507.8027 | |
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| 1026.9354 | 2.8886 | 1050 | 509.3571 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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