End of training
Browse files- README.md +12 -15
- added_tokens.json +1 -2
- config.json +4 -4
- generation_config.json +1 -1
- model.safetensors +2 -2
- runs/Jul27_10-54-15_caa53b8840ec/events.out.tfevents.1722077676.caa53b8840ec.310.0 +3 -0
- runs/Jul27_11-53-20_caa53b8840ec/events.out.tfevents.1722081204.caa53b8840ec.16745.0 +3 -0
- special_tokens_map.json +0 -7
- spm_char.model +2 -2
- tokenizer_config.json +5 -22
- training_args.bin +1 -1
README.md
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base_model: Edmon02/speecht5_finetuned_voxpopuli_nl
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tags:
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- generated_from_trainer
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datasets:
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- hyvoxpopuli
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model-index:
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- name: speecht5_finetuned_voxpopuli_hy
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results: []
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# speecht5_finetuned_voxpopuli_hy
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This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_nl](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_nl) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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base_model: Edmon02/speecht5_finetuned_voxpopuli_nl
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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_hy
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results: []
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# speecht5_finetuned_voxpopuli_hy
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This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_nl](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_nl) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6466
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## Model description
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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: 125
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7114 | 2.4600 | 250 | 0.6624 |
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| 0.6999 | 4.9200 | 500 | 0.6542 |
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| 0.7079 | 7.3801 | 750 | 0.6487 |
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| 0.6972 | 9.8401 | 1000 | 0.6466 |
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### Framework versions
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- Transformers 4.42.4
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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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added_tokens.json
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config.json
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"max_length": 1876,
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"max_speech_positions":
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"model_type": "speecht5",
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size":
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"mask_time_prob": 0.05,
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"max_length": 1876,
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"max_speech_positions": 5000,
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"max_text_positions": 512,
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"model_type": "speecht5",
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size": 158
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}
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generation_config.json
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model.safetensors
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special_tokens_map.json
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spm_char.model
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tokenizer_config.json
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