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--- |
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library_name: transformers |
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license: mit |
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base_model: Timmyafolami/speecht5_female_british_english |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: speecht5_female_british_english_1 |
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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_female_british_english_1 |
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This model is a fine-tuned version of [Timmyafolami/speecht5_female_british_english](https://huggingface.co/Timmyafolami/speecht5_female_british_english) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4200 |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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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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- training_steps: 1000 |
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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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| 0.4698 | 0.4890 | 100 | 0.4438 | |
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| 0.4769 | 0.9780 | 200 | 0.4457 | |
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| 0.4529 | 1.4670 | 300 | 0.4540 | |
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| 0.4553 | 1.9560 | 400 | 0.4345 | |
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| 0.4522 | 2.4450 | 500 | 0.4331 | |
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| 0.4539 | 2.9340 | 600 | 0.4259 | |
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| 0.4462 | 3.4230 | 700 | 0.4236 | |
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| 0.4408 | 3.9120 | 800 | 0.4333 | |
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| 0.4286 | 4.4010 | 900 | 0.4167 | |
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| 0.4294 | 4.8900 | 1000 | 0.4200 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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