End of training
Browse files- README.md +75 -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: speecht5_finetuned_en64_lr301
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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_en64_lr301
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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: 0.4580
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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: 32
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 512
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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: 1500
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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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| 0.4634 | 55.1724 | 100 | 0.3961 |
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| 0.3883 | 110.3448 | 200 | 0.3942 |
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| 0.3614 | 165.5172 | 300 | 0.4229 |
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| 0.3456 | 220.6897 | 400 | 0.4271 |
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| 0.3355 | 275.8621 | 500 | 0.4273 |
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| 0.3257 | 331.0345 | 600 | 0.4478 |
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| 0.3194 | 386.2069 | 700 | 0.4437 |
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| 0.3116 | 441.3793 | 800 | 0.4586 |
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| 0.3053 | 496.5517 | 900 | 0.4518 |
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| 0.2994 | 551.7241 | 1000 | 0.4535 |
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| 0.2969 | 606.8966 | 1100 | 0.4594 |
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| 0.2946 | 662.0690 | 1200 | 0.4521 |
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| 0.2904 | 717.2414 | 1300 | 0.4569 |
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| 0.2889 | 772.4138 | 1400 | 0.4573 |
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| 0.2911 | 827.5862 | 1500 | 0.4580 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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": "4.42.4"
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}
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