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End of training

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  1. README.md +14 -17
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -4,8 +4,6 @@ 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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- datasets:
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- - audiofolder
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  model-index:
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  - name: demo_text_to_speech
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  results: []
@@ -16,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # demo_text_to_speech
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- This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4674
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  ## Model description
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@@ -45,25 +43,24 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - optimizer: Use OptimizerNames.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: 1200
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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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- | 0.6847 | 39.8696 | 200 | 0.5010 |
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- | 0.5393 | 79.8696 | 400 | 0.4659 |
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- | 0.4964 | 119.8696 | 600 | 0.4596 |
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- | 0.4861 | 159.8696 | 800 | 0.4680 |
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- | 0.4786 | 199.8696 | 1000 | 0.4675 |
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- | 0.4741 | 239.8696 | 1200 | 0.4674 |
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  ### Framework versions
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- - Transformers 4.50.3
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- - Pytorch 2.6.0+cu124
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  - Datasets 3.5.0
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- - Tokenizers 0.21.1
 
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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: demo_text_to_speech
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  results: []
 
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  # demo_text_to_speech
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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: 0.4399
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  ## Model description
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  - total_train_batch_size: 32
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  - optimizer: Use OptimizerNames.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: 200
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+ - training_steps: 1000
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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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+ | 0.5642 | 16.64 | 200 | 0.5134 |
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+ | 0.4948 | 33.32 | 400 | 0.4464 |
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+ | 0.4797 | 49.96 | 600 | 0.4396 |
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+ | 0.4792 | 66.64 | 800 | 0.4400 |
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+ | 0.4728 | 83.32 | 1000 | 0.4399 |
 
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  ### Framework versions
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+ - Transformers 4.51.1
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+ - Pytorch 2.5.1+cu124
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  - Datasets 3.5.0
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+ - Tokenizers 0.21.0
generation_config.json CHANGED
@@ -5,5 +5,5 @@
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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": "4.50.3"
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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": "4.51.1"
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:ac80fb485a1d913f0383c14184ee87e43c1eaf8b2dfab6cffad19dae118cf5aa
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  size 577789320
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:efc921262abb49f5a2dd8db0bf691df9ebc20a38852d90f0d7ff8f9624727a01
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  size 577789320