End of training
Browse files- README.md +76 -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: zlm_b64_le4_s8000
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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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# zlm_b64_le4_s8000
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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: 0.3180
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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: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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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: 2000
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- training_steps: 8000
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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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| 0.4057 | 0.4188 | 500 | 0.3683 |
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| 0.416 | 0.8375 | 1000 | 0.3688 |
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| 0.4037 | 1.2563 | 1500 | 0.3661 |
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| 0.4098 | 1.6750 | 2000 | 0.3715 |
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| 0.4019 | 2.0938 | 2500 | 0.3573 |
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| 0.3899 | 2.5126 | 3000 | 0.3552 |
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| 0.3798 | 2.9313 | 3500 | 0.3438 |
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| 0.3737 | 3.3501 | 4000 | 0.3414 |
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| 0.3687 | 3.7688 | 4500 | 0.3459 |
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| 0.3597 | 4.1876 | 5000 | 0.3316 |
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| 0.3626 | 4.6064 | 5500 | 0.3270 |
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| 0.3583 | 5.0251 | 6000 | 0.3233 |
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| 0.3545 | 5.4439 | 6500 | 0.3212 |
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| 0.3473 | 5.8626 | 7000 | 0.3196 |
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| 0.3453 | 6.2814 | 7500 | 0.3189 |
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| 0.3453 | 6.7002 | 8000 | 0.3180 |
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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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": "4.41.0.dev0"
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}
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