End of training
Browse files- README.md +71 -0
- generation_config.json +4 -0
- model.safetensors +1 -1
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: ASR_MODEL
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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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# ASR_MODEL
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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: 0.4068
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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: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 2
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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: 100
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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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| 0.4993 | 3.0769 | 100 | 0.4582 |
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| 0.463 | 6.1538 | 200 | 0.4378 |
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| 0.4489 | 9.2308 | 300 | 0.4288 |
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| 0.44 | 12.3077 | 400 | 0.4194 |
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| 0.4283 | 15.3846 | 500 | 0.4168 |
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| 0.4277 | 18.4615 | 600 | 0.4105 |
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| 0.4248 | 21.5385 | 700 | 0.4095 |
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| 0.4184 | 24.6154 | 800 | 0.4081 |
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| 0.4179 | 27.6923 | 900 | 0.4065 |
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| 0.4134 | 30.7692 | 1000 | 0.4068 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"max_length": 1876,
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"transformers_version": "4.44.2"
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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:
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size 577789320
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version https://git-lfs.github.com/spec/v1
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size 577789320
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