---
base_model: Edmon02/TTS_NB
tags:
- generated_from_trainer
model-index:
- name: TTS_NB
  results: []
---

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# TTS_NB

This model is a fine-tuned version of [Edmon02/TTS_NB](https://huggingface.co./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