---
library_name: transformers
base_model: Edmon02/TTS_NB
tags:
- generated_from_trainer
model-index:
- name: TTS_NB_2
  results: []
---

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# TTS_NB_2

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:
- eval_loss: 0.4855
- eval_runtime: 11.4461
- eval_samples_per_second: 6.116
- eval_steps_per_second: 3.058
- epoch: 102.5641
- step: 2000

## 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: 1e-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: 250
- training_steps: 4000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1