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End of training

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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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+ datasets:
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+ - voxpopuli
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+ model-index:
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+ - name: speecht5_finetuned_voxpopuli_fi
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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_finetuned_voxpopuli_fi
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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 voxpopuli dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.6689
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+ - eval_runtime: 253.106
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+ - eval_samples_per_second: 0.699
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+ - eval_steps_per_second: 0.178
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+ - epoch: 0.0404
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+ - step: 2
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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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: 1
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+ - training_steps: 4
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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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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+ {
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+ "_name_or_path": "microsoft/speecht5_tts",
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+ "activation_dropout": 0.1,
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+ "apply_spec_augment": true,
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+ "SpeechT5ForTextToSpeech"
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.1,
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+ "feat_extract_activation": "gelu",
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+ "transformers_version": "4.40.2",
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+ "use_guided_attention_loss": true,
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+ "vocab_size": 81
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+ }
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