End of training
Browse files- README.md +80 -0
- generation_config.json +9 -0
README.md
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---
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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: malay_full_checkpoint
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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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# malay_full_checkpoint
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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: 0.3226
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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: 2000
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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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| 0.5538 | 0.21 | 500 | 0.4798 |
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| 0.4888 | 0.42 | 1000 | 0.4282 |
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| 0.4506 | 0.63 | 1500 | 0.4016 |
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| 0.4269 | 0.84 | 2000 | 0.3948 |
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| 0.4244 | 1.05 | 2500 | 0.3797 |
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| 0.4009 | 1.26 | 3000 | 0.3672 |
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| 0.3976 | 1.47 | 3500 | 0.3653 |
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| 0.3903 | 1.68 | 4000 | 0.3560 |
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| 0.38 | 1.88 | 4500 | 0.3525 |
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| 0.3929 | 2.09 | 5000 | 0.3472 |
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| 0.3799 | 2.3 | 5500 | 0.3459 |
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| 0.3742 | 2.51 | 6000 | 0.3370 |
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| 0.3713 | 2.72 | 6500 | 0.3364 |
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| 0.3704 | 2.93 | 7000 | 0.3313 |
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| 0.3569 | 3.14 | 7500 | 0.3307 |
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| 0.3508 | 3.35 | 8000 | 0.3293 |
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| 0.3544 | 3.56 | 8500 | 0.3288 |
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| 0.3619 | 3.77 | 9000 | 0.3265 |
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| 0.3542 | 3.98 | 9500 | 0.3239 |
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| 0.361 | 4.19 | 10000 | 0.3226 |
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 1876,
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"pad_token_id": 1,
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"transformers_version": "4.40.0.dev0"
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}
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