End of training
Browse files- README.md +86 -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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model-index:
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- name: speecht5_finetuned_2500
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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_finetuned_2500
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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: 0.3911
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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: 2500
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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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| 0.5981 | 2.7586 | 100 | 0.5373 |
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| 0.5211 | 5.5172 | 200 | 0.4836 |
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| 0.5034 | 8.2759 | 300 | 0.4801 |
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| 0.4627 | 11.0345 | 400 | 0.4625 |
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| 0.4494 | 13.7931 | 500 | 0.4718 |
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| 0.4344 | 16.5517 | 600 | 0.4308 |
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| 0.4352 | 19.3103 | 700 | 0.4549 |
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| 0.4036 | 22.0690 | 800 | 0.4363 |
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| 0.3965 | 24.8276 | 900 | 0.4118 |
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| 0.39 | 27.5862 | 1000 | 0.4093 |
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| 0.3792 | 30.3448 | 1100 | 0.4142 |
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| 0.37 | 33.1034 | 1200 | 0.4080 |
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| 0.3702 | 35.8621 | 1300 | 0.4032 |
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| 0.3667 | 38.6207 | 1400 | 0.4031 |
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| 0.3703 | 41.3793 | 1500 | 0.3997 |
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| 0.3647 | 44.1379 | 1600 | 0.3961 |
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| 0.3553 | 46.8966 | 1700 | 0.3985 |
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| 0.3506 | 49.6552 | 1800 | 0.4003 |
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| 0.3504 | 52.4138 | 1900 | 0.3952 |
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| 0.3361 | 55.1724 | 2000 | 0.3950 |
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| 0.346 | 57.9310 | 2100 | 0.3953 |
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| 0.3371 | 60.6897 | 2200 | 0.3948 |
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| 0.3447 | 63.4483 | 2300 | 0.3933 |
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| 0.3278 | 66.2069 | 2400 | 0.3910 |
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| 0.3373 | 68.9655 | 2500 | 0.3911 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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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 sha256:101e56aaa183e7b79bfc323ae4a7a15b8fda506b56527afcb3c8e44dcb2857d7
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size 577789320
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