---
library_name: transformers
license: mit
base_model: MehdiAslam/speecht5_Mehdi_Final_Model
tags:
- generated_from_trainer
model-index:
- name: speecht5_Mehdi_Final_Model_2nd
  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_Mehdi_Final_Model_2nd

This model is a fine-tuned version of [MehdiAslam/speecht5_Mehdi_Final_Model](https://huggingface.co/MehdiAslam/speecht5_Mehdi_Final_Model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4152

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.3962        | 3.2924  | 250  | 0.4002          |
| 0.3925        | 6.5847  | 500  | 0.4058          |
| 0.3924        | 9.8771  | 750  | 0.4070          |
| 0.3851        | 13.1595 | 1000 | 0.4048          |
| 0.3803        | 16.4518 | 1250 | 0.4059          |
| 0.3829        | 19.7442 | 1500 | 0.4059          |
| 0.3774        | 23.0266 | 1750 | 0.4034          |
| 0.3723        | 26.3189 | 2000 | 0.4096          |
| 0.3706        | 29.6113 | 2250 | 0.4122          |
| 0.3789        | 32.9037 | 2500 | 0.4171          |
| 0.3688        | 36.1860 | 2750 | 0.4156          |
| 0.3721        | 39.4784 | 3000 | 0.4152          |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1