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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- multilingual_librispeech |
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model-index: |
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- name: speecht5_finetuned_male_globo_add_token_3_facebook |
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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_male_globo_add_token_3_facebook |
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This model was trained from scratch on the multilingual_librispeech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3585 |
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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: 1e-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: 500 |
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- training_steps: 10000 |
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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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| 0.4143 | 2.6 | 1000 | 0.3794 | |
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| 0.4056 | 5.2 | 2000 | 0.3701 | |
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| 0.3983 | 7.81 | 3000 | 0.3665 | |
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| 0.3988 | 10.41 | 4000 | 0.3641 | |
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| 0.3912 | 13.01 | 5000 | 0.3626 | |
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| 0.3901 | 15.61 | 6000 | 0.3604 | |
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| 0.3864 | 18.22 | 7000 | 0.3605 | |
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| 0.3895 | 20.82 | 8000 | 0.3591 | |
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| 0.3848 | 23.42 | 9000 | 0.3587 | |
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| 0.3868 | 26.02 | 10000 | 0.3585 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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