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End of training

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  1. README.md +76 -0
  2. generation_config.json +9 -0
README.md ADDED
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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: speecht5_improved_data
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+ results: []
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+ ---
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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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+
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+ # speecht5_improved_data
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+
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+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5781
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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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: 64
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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: 4000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 0.9442 | 1.5326 | 250 | 0.7612 |
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+ | 0.7905 | 3.0651 | 500 | 0.6773 |
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+ | 0.7439 | 4.5977 | 750 | 0.6415 |
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+ | 0.7208 | 6.1303 | 1000 | 0.6286 |
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+ | 0.7108 | 7.6628 | 1250 | 0.6159 |
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+ | 0.6941 | 9.1954 | 1500 | 0.6098 |
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+ | 0.6869 | 10.7280 | 1750 | 0.5993 |
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+ | 0.6572 | 12.2605 | 2000 | 0.5945 |
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+ | 0.6671 | 13.7931 | 2250 | 0.5922 |
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+ | 0.6566 | 15.3257 | 2500 | 0.5882 |
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+ | 0.6551 | 16.8582 | 2750 | 0.5880 |
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+ | 0.6564 | 18.3908 | 3000 | 0.5852 |
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+ | 0.6458 | 19.9234 | 3250 | 0.5793 |
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+ | 0.6457 | 21.4559 | 3500 | 0.5815 |
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+ | 0.6473 | 22.9885 | 3750 | 0.5834 |
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+ | 0.6532 | 24.5211 | 4000 | 0.5781 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.17.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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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": "4.41.2"
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+ }