mikhail-panzo
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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_b32_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_b32_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: 0.3161
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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: 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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| 0.3712 | 0.2094 | 500 | 0.3402 |
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| 0.3792 | 0.4188 | 1000 | 0.3468 |
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| 0.374 | 0.6283 | 1500 | 0.3445 |
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| 0.3701 | 0.8377 | 2000 | 0.3469 |
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| 0.3828 | 1.0471 | 2500 | 0.3560 |
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| 0.3697 | 1.2565 | 3000 | 0.3404 |
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| 0.3719 | 1.4660 | 3500 | 0.3373 |
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| 0.3682 | 1.6754 | 4000 | 0.3358 |
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| 0.365 | 1.8848 | 4500 | 0.3351 |
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| 0.3759 | 2.0942 | 5000 | 0.3276 |
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| 0.3628 | 2.3037 | 5500 | 0.3276 |
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| 0.3584 | 2.5131 | 6000 | 0.3218 |
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| 0.3543 | 2.7225 | 6500 | 0.3218 |
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| 0.3512 | 2.9319 | 7000 | 0.3184 |
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| 0.3397 | 3.1414 | 7500 | 0.3170 |
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| 0.3392 | 3.3508 | 8000 | 0.3161 |
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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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