End of training
Browse files- README.md +83 -0
- generation_config.json +9 -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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datasets:
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- common_voice_17_0
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model-index:
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- name: SpeechT5-Hausa-7
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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-Hausa-7
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4667
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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: 2000
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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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| 0.6236 | 1.8476 | 100 | 0.5467 |
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| 0.5606 | 3.6952 | 200 | 0.5343 |
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| 0.537 | 5.5427 | 300 | 0.4949 |
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| 0.5195 | 7.3903 | 400 | 0.4839 |
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| 0.511 | 9.2379 | 500 | 0.4760 |
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| 0.5044 | 11.0855 | 600 | 0.4693 |
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| 0.4944 | 12.9330 | 700 | 0.4693 |
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| 0.4912 | 14.7806 | 800 | 0.4843 |
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| 0.4792 | 16.6282 | 900 | 0.4737 |
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| 0.4742 | 18.4758 | 1000 | 0.4659 |
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| 0.4727 | 20.3233 | 1100 | 0.4659 |
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| 0.4584 | 22.1709 | 1200 | 0.4637 |
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| 0.4604 | 24.0185 | 1300 | 0.4618 |
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| 0.4556 | 25.8661 | 1400 | 0.4637 |
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| 0.4549 | 27.7136 | 1500 | 0.4606 |
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| 0.4514 | 29.5612 | 1600 | 0.4629 |
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| 0.4476 | 31.4088 | 1700 | 0.4611 |
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| 0.4426 | 33.2564 | 1800 | 0.4636 |
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| 0.4472 | 35.1039 | 1900 | 0.4680 |
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| 0.4353 | 36.9515 | 2000 | 0.4667 |
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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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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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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": "4.44.2"
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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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oid sha256:2a4b9684df2860eaba34d4951e4c58b1478594b6cae8e2ae9f60df994429bc51
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size 577789320
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