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--- |
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license: mit |
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base_model: Edmon02/speecht5_finetuned_voxpopuli_hy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: speecht5_finetuned_voxpopuli_hy |
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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_finetuned_voxpopuli_hy |
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This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_hy](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_hy) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6183 |
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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: 2e-05 |
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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: 1000 |
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- training_steps: 4000 |
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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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| 0.6306 | 57.1429 | 500 | 0.6027 | |
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| 0.6062 | 114.2857 | 1000 | 0.6026 | |
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| 0.5872 | 171.4286 | 1500 | 0.6059 | |
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| 0.5767 | 228.5714 | 2000 | 0.6197 | |
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| 0.5672 | 285.7143 | 2500 | 0.6145 | |
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| 0.5605 | 342.8571 | 3000 | 0.6194 | |
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| 0.5569 | 400.0 | 3500 | 0.6195 | |
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| 0.5552 | 457.1429 | 4000 | 0.6183 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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