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End of training
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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: fil_b32_le3_s4000
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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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# fil_b32_le3_s4000
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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: 1.5469
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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: 0.001
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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: 4000
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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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| 0.5028 | 11.1111 | 500 | 0.4463 |
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| 0.6348 | 22.2222 | 1000 | 0.5990 |
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| 1.7172 | 33.3333 | 1500 | 1.5665 |
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| 1.5863 | 44.4444 | 2000 | 1.5432 |
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| 1.5854 | 55.5556 | 2500 | 1.5436 |
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| 1.5647 | 66.6667 | 3000 | 1.5431 |
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| 1.5731 | 77.7778 | 3500 | 1.5472 |
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| 1.5716 | 88.8889 | 4000 | 1.5469 |
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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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model.safetensors
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runs/Apr29_15-18-52_9ccc60c25229/events.out.tfevents.1714403933.9ccc60c25229.2467.0
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