End of training
Browse files- README.md +101 -0
- generation_config.json +9 -0
README.md
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: microsoft/speecht5_tts
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
model-index:
|
| 8 |
+
- name: na_voice_clon
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# na_voice_clon
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.5806
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 5e-06
|
| 39 |
+
- train_batch_size: 8
|
| 40 |
+
- eval_batch_size: 2
|
| 41 |
+
- seed: 42
|
| 42 |
+
- gradient_accumulation_steps: 8
|
| 43 |
+
- total_train_batch_size: 64
|
| 44 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_steps: 500
|
| 47 |
+
- training_steps: 2000
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 53 |
+
|:-------------:|:-------:|:----:|:---------------:|
|
| 54 |
+
| 0.9913 | 1.1905 | 50 | 0.8766 |
|
| 55 |
+
| 0.9763 | 2.3810 | 100 | 0.8198 |
|
| 56 |
+
| 0.9234 | 3.5714 | 150 | 0.7816 |
|
| 57 |
+
| 0.8756 | 4.7619 | 200 | 0.7637 |
|
| 58 |
+
| 0.8449 | 5.9524 | 250 | 0.7322 |
|
| 59 |
+
| 0.7719 | 7.1429 | 300 | 0.6737 |
|
| 60 |
+
| 0.7254 | 8.3333 | 350 | 0.6366 |
|
| 61 |
+
| 0.6845 | 9.5238 | 400 | 0.6195 |
|
| 62 |
+
| 0.6737 | 10.7143 | 450 | 0.6131 |
|
| 63 |
+
| 0.6689 | 11.9048 | 500 | 0.6178 |
|
| 64 |
+
| 0.6595 | 13.0952 | 550 | 0.6039 |
|
| 65 |
+
| 0.655 | 14.2857 | 600 | 0.6046 |
|
| 66 |
+
| 0.6514 | 15.4762 | 650 | 0.5944 |
|
| 67 |
+
| 0.6478 | 16.6667 | 700 | 0.5940 |
|
| 68 |
+
| 0.6327 | 17.8571 | 750 | 0.5939 |
|
| 69 |
+
| 0.6418 | 19.0476 | 800 | 0.5938 |
|
| 70 |
+
| 0.6329 | 20.2381 | 850 | 0.5887 |
|
| 71 |
+
| 0.6364 | 21.4286 | 900 | 0.5906 |
|
| 72 |
+
| 0.6284 | 22.6190 | 950 | 0.5887 |
|
| 73 |
+
| 0.6238 | 23.8095 | 1000 | 0.5865 |
|
| 74 |
+
| 0.624 | 25.0 | 1050 | 0.5859 |
|
| 75 |
+
| 0.6163 | 26.1905 | 1100 | 0.5845 |
|
| 76 |
+
| 0.6254 | 27.3810 | 1150 | 0.5840 |
|
| 77 |
+
| 0.6168 | 28.5714 | 1200 | 0.5831 |
|
| 78 |
+
| 0.6141 | 29.7619 | 1250 | 0.5791 |
|
| 79 |
+
| 0.614 | 30.9524 | 1300 | 0.5835 |
|
| 80 |
+
| 0.6121 | 32.1429 | 1350 | 0.5788 |
|
| 81 |
+
| 0.6227 | 33.3333 | 1400 | 0.5785 |
|
| 82 |
+
| 0.6198 | 34.5238 | 1450 | 0.5775 |
|
| 83 |
+
| 0.6142 | 35.7143 | 1500 | 0.5803 |
|
| 84 |
+
| 0.6183 | 36.9048 | 1550 | 0.5765 |
|
| 85 |
+
| 0.6161 | 38.0952 | 1600 | 0.5781 |
|
| 86 |
+
| 0.6061 | 39.2857 | 1650 | 0.5768 |
|
| 87 |
+
| 0.6167 | 40.4762 | 1700 | 0.5773 |
|
| 88 |
+
| 0.6063 | 41.6667 | 1750 | 0.5775 |
|
| 89 |
+
| 0.6107 | 42.8571 | 1800 | 0.5777 |
|
| 90 |
+
| 0.6084 | 44.0476 | 1850 | 0.5772 |
|
| 91 |
+
| 0.6074 | 45.2381 | 1900 | 0.5757 |
|
| 92 |
+
| 0.6023 | 46.4286 | 1950 | 0.5766 |
|
| 93 |
+
| 0.6077 | 47.6190 | 2000 | 0.5806 |
|
| 94 |
+
|
| 95 |
+
|
| 96 |
+
### Framework versions
|
| 97 |
+
|
| 98 |
+
- Transformers 4.47.0
|
| 99 |
+
- Pytorch 2.5.1+cu121
|
| 100 |
+
- Datasets 3.3.1
|
| 101 |
+
- Tokenizers 0.21.0
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"decoder_start_token_id": 2,
|
| 5 |
+
"eos_token_id": 2,
|
| 6 |
+
"max_length": 1876,
|
| 7 |
+
"pad_token_id": 1,
|
| 8 |
+
"transformers_version": "4.47.0"
|
| 9 |
+
}
|