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divakaivan
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glaswegian_tts

Text-to-Audio
Transformers
TensorBoard
Safetensors
English
speecht5
scottish
tts
glaswegian
Generated from Trainer
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divakaivan commited on
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End of training

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Files changed (3) hide show
  1. README.md +11 -15
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the glaswegian_tts_v0.1.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5090
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  ## Model description
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@@ -42,34 +42,30 @@ More information needed
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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: 16
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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: 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: 1000
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- - training_steps: 8000
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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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- | 0.4421 | 52.6316 | 1000 | 0.4186 |
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- | 0.3878 | 105.2632 | 2000 | 0.4447 |
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- | 0.3775 | 157.8947 | 3000 | 0.4671 |
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- | 0.3639 | 210.5263 | 4000 | 0.4907 |
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- | 0.354 | 263.1579 | 5000 | 0.4884 |
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- | 0.356 | 315.7895 | 6000 | 0.4997 |
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- | 0.3451 | 368.4211 | 7000 | 0.5021 |
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- | 0.3514 | 421.0526 | 8000 | 0.5090 |
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  ### Framework versions
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- - Transformers 4.42.0.dev0
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- - Pytorch 2.3.0+cu121
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- - Datasets 2.19.2
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the glaswegian_tts_v0.1.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4605
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  ## Model description
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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: 8
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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: 1000
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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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+ | 0.4699 | 35.2423 | 1000 | 0.4320 |
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+ | 0.4246 | 70.4846 | 2000 | 0.4422 |
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+ | 0.4115 | 105.7269 | 3000 | 0.4529 |
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+ | 0.4127 | 140.9692 | 4000 | 0.4605 |
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.44.0.dev0
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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
generation_config.json CHANGED
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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": "4.42.0.dev0"
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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": "4.44.0.dev0"
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  }
model.safetensors CHANGED
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  size 577789320
 
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