End of training
Browse files- README.md +141 -0
- added_tokens.json +4 -0
- config.json +92 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- runs/Oct22_13-42-05_8a27a372a7a9/events.out.tfevents.1729604538.8a27a372a7a9.30.0 +3 -0
- special_tokens_map.json +13 -0
- spm_char.model +3 -0
- tokenizer_config.json +63 -0
- training_args.bin +3 -0
README.md
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---
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+
library_name: transformers
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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: speecht5_tts_wolof
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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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# speecht5_tts_wolof
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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: 0.4769
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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: 1e-05
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- train_batch_size: 8
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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: 16
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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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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| 2.1638 | 0.0963 | 50 | 1.0066 |
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| 2.0092 | 0.1927 | 100 | 0.9555 |
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| 1.7858 | 0.2890 | 150 | 0.9100 |
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| 1.8592 | 0.3854 | 200 | 0.8772 |
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| 1.778 | 0.4817 | 250 | 0.8337 |
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| 1.6383 | 0.5780 | 300 | 0.7854 |
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| 1.4971 | 0.6744 | 350 | 0.6216 |
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| 1.2996 | 0.7707 | 400 | 0.5678 |
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| 1.2728 | 0.8671 | 450 | 0.5555 |
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| 1.2295 | 0.9634 | 500 | 0.5388 |
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| 1.1974 | 1.0597 | 550 | 0.5332 |
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| 1.1524 | 1.1561 | 600 | 0.5261 |
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| 1.2034 | 1.2524 | 650 | 0.5243 |
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| 1.1313 | 1.3487 | 700 | 0.5137 |
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| 1.1011 | 1.4451 | 750 | 0.5121 |
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| 1.1376 | 1.5414 | 800 | 0.5112 |
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| 1.142 | 1.6378 | 850 | 0.5097 |
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| 1.1685 | 1.7341 | 900 | 0.5035 |
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| 1.122 | 1.8304 | 950 | 0.5030 |
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| 1.117 | 1.9268 | 1000 | 0.5075 |
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| 1.1164 | 2.0231 | 1050 | 0.5011 |
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| 1.1186 | 2.1195 | 1100 | 0.4997 |
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| 1.102 | 2.2158 | 1150 | 0.4999 |
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| 1.0753 | 2.3121 | 1200 | 0.4995 |
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| 1.0459 | 2.4085 | 1250 | 0.4950 |
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| 1.1395 | 2.5048 | 1300 | 0.4967 |
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| 1.086 | 2.6012 | 1350 | 0.4914 |
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| 1.0647 | 2.6975 | 1400 | 0.4922 |
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| 1.0779 | 2.7938 | 1450 | 0.4925 |
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| 1.0814 | 2.8902 | 1500 | 0.4885 |
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| 1.092 | 2.9865 | 1550 | 0.4909 |
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| 1.0609 | 3.0829 | 1600 | 0.4883 |
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| 1.0517 | 3.1792 | 1650 | 0.4903 |
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| 1.0954 | 3.2755 | 1700 | 0.4886 |
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| 1.0431 | 3.3719 | 1750 | 0.4903 |
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| 1.0756 | 3.4682 | 1800 | 0.4914 |
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| 1.0806 | 3.5645 | 1850 | 0.4835 |
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| 1.0592 | 3.6609 | 1900 | 0.4891 |
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| 1.054 | 3.7572 | 1950 | 0.4906 |
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| 1.0297 | 3.8536 | 2000 | 0.4863 |
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| 1.0461 | 3.9499 | 2050 | 0.4833 |
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| 1.0244 | 4.0462 | 2100 | 0.4836 |
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| 1.0341 | 4.1426 | 2150 | 0.4826 |
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| 1.0287 | 4.2389 | 2200 | 0.4806 |
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| 1.026 | 4.3353 | 2250 | 0.4831 |
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| 1.0354 | 4.4316 | 2300 | 0.4850 |
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| 1.0665 | 4.5279 | 2350 | 0.4824 |
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| 1.0291 | 4.6243 | 2400 | 0.4800 |
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| 1.0425 | 4.7206 | 2450 | 0.4791 |
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| 1.0367 | 4.8170 | 2500 | 0.4796 |
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| 1.0393 | 4.9133 | 2550 | 0.4814 |
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| 1.0301 | 5.0096 | 2600 | 0.4799 |
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| 1.0431 | 5.1060 | 2650 | 0.4790 |
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| 1.0261 | 5.2023 | 2700 | 0.4791 |
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| 1.05 | 5.2987 | 2750 | 0.4804 |
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| 1.0296 | 5.3950 | 2800 | 0.4794 |
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| 1.0296 | 5.4913 | 2850 | 0.4805 |
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| 1.0214 | 5.5877 | 2900 | 0.4792 |
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| 1.0277 | 5.6840 | 2950 | 0.4781 |
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| 1.0355 | 5.7803 | 3000 | 0.4764 |
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| 1.0325 | 5.8767 | 3050 | 0.4779 |
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| 1.0206 | 5.9730 | 3100 | 0.4768 |
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| 1.0316 | 6.0694 | 3150 | 0.4793 |
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| 1.0426 | 6.1657 | 3200 | 0.4771 |
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| 1.0562 | 6.2620 | 3250 | 0.4786 |
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| 1.0242 | 6.3584 | 3300 | 0.4792 |
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| 1.0144 | 6.4547 | 3350 | 0.4788 |
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| 1.0335 | 6.5511 | 3400 | 0.4761 |
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| 0.9995 | 6.6474 | 3450 | 0.4757 |
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| 1.0119 | 6.7437 | 3500 | 0.4772 |
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| 1.0355 | 6.8401 | 3550 | 0.4789 |
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| 0.9858 | 6.9364 | 3600 | 0.4767 |
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| 1.0327 | 7.0328 | 3650 | 0.4757 |
|
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| 1.0355 | 7.1291 | 3700 | 0.4746 |
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| 0.9974 | 7.2254 | 3750 | 0.4757 |
|
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| 1.0296 | 7.3218 | 3800 | 0.4761 |
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| 1.0033 | 7.4181 | 3850 | 0.4759 |
|
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| 1.0013 | 7.5145 | 3900 | 0.4751 |
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| 1.0086 | 7.6108 | 3950 | 0.4756 |
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| 1.0191 | 7.7071 | 4000 | 0.4769 |
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|
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### Framework versions
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- Transformers 4.46.0.dev0
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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added_tokens.json
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{
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"<ctc_blank>": 80,
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"<mask>": 79
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}
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config.json
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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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5 |
+
"architectures": [
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"SpeechT5ForTextToSpeech"
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+
],
|
8 |
+
"attention_dropout": 0.1,
|
9 |
+
"bos_token_id": 0,
|
10 |
+
"conv_bias": false,
|
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+
"conv_dim": [
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512,
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+
512,
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+
512,
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+
512,
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+
512,
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+
512,
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+
512
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],
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"conv_kernel": [
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10,
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3,
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3,
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+
3,
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3,
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2,
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2
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],
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"conv_stride": [
|
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5,
|
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+
2,
|
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+
2,
|
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+
2,
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+
2,
|
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+
2,
|
36 |
+
2
|
37 |
+
],
|
38 |
+
"decoder_attention_heads": 12,
|
39 |
+
"decoder_ffn_dim": 3072,
|
40 |
+
"decoder_layerdrop": 0.1,
|
41 |
+
"decoder_layers": 6,
|
42 |
+
"decoder_start_token_id": 2,
|
43 |
+
"encoder_attention_heads": 12,
|
44 |
+
"encoder_ffn_dim": 3072,
|
45 |
+
"encoder_layerdrop": 0.1,
|
46 |
+
"encoder_layers": 12,
|
47 |
+
"encoder_max_relative_position": 160,
|
48 |
+
"eos_token_id": 2,
|
49 |
+
"feat_extract_activation": "gelu",
|
50 |
+
"feat_extract_norm": "group",
|
51 |
+
"feat_proj_dropout": 0.0,
|
52 |
+
"guided_attention_loss_num_heads": 2,
|
53 |
+
"guided_attention_loss_scale": 10.0,
|
54 |
+
"guided_attention_loss_sigma": 0.4,
|
55 |
+
"hidden_act": "gelu",
|
56 |
+
"hidden_dropout": 0.1,
|
57 |
+
"hidden_size": 768,
|
58 |
+
"initializer_range": 0.02,
|
59 |
+
"is_encoder_decoder": true,
|
60 |
+
"layer_norm_eps": 1e-05,
|
61 |
+
"mask_feature_length": 10,
|
62 |
+
"mask_feature_min_masks": 0,
|
63 |
+
"mask_feature_prob": 0.0,
|
64 |
+
"mask_time_length": 10,
|
65 |
+
"mask_time_min_masks": 2,
|
66 |
+
"mask_time_prob": 0.05,
|
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+
"max_length": null,
|
68 |
+
"max_speech_positions": 1876,
|
69 |
+
"max_text_positions": 600,
|
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+
"model_type": "speecht5",
|
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+
"num_conv_pos_embedding_groups": 16,
|
72 |
+
"num_conv_pos_embeddings": 128,
|
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+
"num_feat_extract_layers": 7,
|
74 |
+
"num_mel_bins": 80,
|
75 |
+
"pad_token_id": 1,
|
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+
"positional_dropout": 0.1,
|
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+
"reduction_factor": 2,
|
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+
"scale_embedding": false,
|
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"speaker_embedding_dim": 512,
|
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+
"speech_decoder_postnet_dropout": 0.5,
|
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+
"speech_decoder_postnet_kernel": 5,
|
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+
"speech_decoder_postnet_layers": 5,
|
83 |
+
"speech_decoder_postnet_units": 256,
|
84 |
+
"speech_decoder_prenet_dropout": 0.5,
|
85 |
+
"speech_decoder_prenet_layers": 2,
|
86 |
+
"speech_decoder_prenet_units": 256,
|
87 |
+
"torch_dtype": "float32",
|
88 |
+
"transformers_version": "4.46.0.dev0",
|
89 |
+
"use_cache": false,
|
90 |
+
"use_guided_attention_loss": true,
|
91 |
+
"vocab_size": 81
|
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+
}
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generation_config.json
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{
|
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"_from_model_config": true,
|
3 |
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"bos_token_id": 0,
|
4 |
+
"decoder_start_token_id": 2,
|
5 |
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"eos_token_id": 2,
|
6 |
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"max_length": 1876,
|
7 |
+
"pad_token_id": 1,
|
8 |
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"transformers_version": "4.46.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b91ef8f9031d4dd9eaa399011ca7c2731f72fcb5c2fee189c83febbaccdb919a
|
3 |
+
size 577789320
|
runs/Oct22_13-42-05_8a27a372a7a9/events.out.tfevents.1729604538.8a27a372a7a9.30.0
ADDED
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|
1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:ce02d6b917662ae5981efdbee43342139602ddcb60e60a02d6da5cb60e2b3159
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size 62415
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special_tokens_map.json
ADDED
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{
|
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"bos_token": "<s>",
|
3 |
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"eos_token": "</s>",
|
4 |
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"mask_token": {
|
5 |
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"content": "<mask>",
|
6 |
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"lstrip": true,
|
7 |
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"normalized": true,
|
8 |
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"rstrip": false,
|
9 |
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"single_word": false
|
10 |
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},
|
11 |
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"pad_token": "<pad>",
|
12 |
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"unk_token": "<unk>"
|
13 |
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}
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spm_char.model
ADDED
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|
1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7fcc48f3e225f627b1641db410ceb0c8649bd2b0c982e150b03f8be3728ab560
|
3 |
+
size 238473
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tokenizer_config.json
ADDED
@@ -0,0 +1,63 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
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"rstrip": false,
|
8 |
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"single_word": false,
|
9 |
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"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
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},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
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"special": true
|
34 |
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},
|
35 |
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"79": {
|
36 |
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"content": "<mask>",
|
37 |
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"lstrip": true,
|
38 |
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"normalized": true,
|
39 |
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"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
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},
|
43 |
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"80": {
|
44 |
+
"content": "<ctc_blank>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": true,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": false
|
50 |
+
}
|
51 |
+
},
|
52 |
+
"bos_token": "<s>",
|
53 |
+
"clean_up_tokenization_spaces": false,
|
54 |
+
"eos_token": "</s>",
|
55 |
+
"mask_token": "<mask>",
|
56 |
+
"model_max_length": 600,
|
57 |
+
"normalize": false,
|
58 |
+
"pad_token": "<pad>",
|
59 |
+
"processor_class": "SpeechT5Processor",
|
60 |
+
"sp_model_kwargs": {},
|
61 |
+
"tokenizer_class": "SpeechT5Tokenizer",
|
62 |
+
"unk_token": "<unk>"
|
63 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4260b6cedfe0b082fce2bf0abf6e442288b523662fabd6509f51106a36618b9
|
3 |
+
size 5432
|