---
library_name: transformers
license: mit
base_model: blackbook-lab/speecht5_Kobe_finetune
tags:
- generated_from_trainer
model-index:
- name: speecht5_Kobe_finetune
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# speecht5_Kobe_finetune

This model is a fine-tuned version of [blackbook-lab/speecht5_Kobe_finetune](https://huggingface.co/blackbook-lab/speecht5_Kobe_finetune) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6849

## 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: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8442        | 0.3704 | 10   | 0.7189          |
| 0.7748        | 0.7407 | 20   | 0.7182          |
| 0.7356        | 1.1111 | 30   | 0.7198          |
| 0.8104        | 1.4815 | 40   | 0.7147          |
| 1.5772        | 1.8519 | 50   | 0.7209          |
| 0.6864        | 2.2222 | 60   | 0.7140          |
| 0.9694        | 2.5926 | 70   | 0.7117          |
| 0.7178        | 2.9630 | 80   | 0.7107          |
| 0.6012        | 3.3333 | 90   | 0.7027          |
| 0.6419        | 3.7037 | 100  | 0.6981          |
| 0.8538        | 4.0741 | 110  | 0.6981          |
| 0.7592        | 4.4444 | 120  | 0.6877          |
| 0.6722        | 4.8148 | 130  | 0.6849          |


### Framework versions

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