metadata
base_model: Edmon02/TTS_NB
tags:
- generated_from_trainer
model-index:
- name: TTS_NB
results: []
TTS_NB
This model is a fine-tuned version of Edmon02/TTS_NB on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4601
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6192 | 27.3973 | 500 | 0.5595 |
| 0.5686 | 54.7945 | 1000 | 0.5097 |
| 0.537 | 82.1918 | 1500 | 0.4940 |
| 0.5239 | 109.5890 | 2000 | 0.4815 |
| 0.5143 | 136.9863 | 2500 | 0.4775 |
| 0.5087 | 166.2740 | 3000 | 0.4622 |
| 0.5007 | 193.6712 | 3500 | 0.4592 |
| 0.5083 | 137.5527 | 4000 | 0.4671 |
| 0.5025 | 154.4304 | 4500 | 0.4657 |
| 0.4963 | 171.3080 | 5000 | 0.4626 |
| 0.4982 | 188.1857 | 5500 | 0.4603 |
| 0.4939 | 205.0633 | 6000 | 0.4601 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1