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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/speecht5_tts |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ASR_MODEL |
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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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# ASR_MODEL |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4068 |
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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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| 0.4993 | 3.0769 | 100 | 0.4582 | |
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| 0.463 | 6.1538 | 200 | 0.4378 | |
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| 0.4489 | 9.2308 | 300 | 0.4288 | |
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| 0.44 | 12.3077 | 400 | 0.4194 | |
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| 0.4283 | 15.3846 | 500 | 0.4168 | |
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| 0.4277 | 18.4615 | 600 | 0.4105 | |
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| 0.4248 | 21.5385 | 700 | 0.4095 | |
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| 0.4184 | 24.6154 | 800 | 0.4081 | |
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| 0.4179 | 27.6923 | 900 | 0.4065 | |
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| 0.4134 | 30.7692 | 1000 | 0.4068 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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