End of training
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_17_0
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model-index:
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- name: speecht5_finetuned_voxpopuli_nl
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results: []
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# speecht5_finetuned_voxpopuli_nl
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This model is a fine-tuned version of [Edmon02/
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It achieves the following results on the evaluation set:
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## Model description
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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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| 0.6726 | 25.1572 | 1000 | 0.6327 |
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| 0.6491 | 50.3145 | 2000 | 0.6283 |
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| 0.6394 | 75.4717 | 3000 | 0.6306 |
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| 0.6434 | 100.6289 | 4000 | 0.6335 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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---
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license: mit
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base_model: Edmon02/speecht5_finetuned_hy
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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_voxpopuli_nl
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results: []
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# speecht5_finetuned_voxpopuli_nl
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This model is a fine-tuned version of [Edmon02/speecht5_finetuned_hy](https://huggingface.co/Edmon02/speecht5_finetuned_hy) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.5525
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- eval_runtime: 78.2993
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- eval_samples_per_second: 50.537
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- eval_steps_per_second: 25.275
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- epoch: 1.7973
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- step: 2000
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## Model description
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.4.0+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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"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.
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}
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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": "4.43.3"
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}
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model.safetensors
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runs/Aug04_08-59-32_ip-10-192-12-187/events.out.tfevents.1722761976.ip-10-192-12-187.1938.0
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size 25473
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