---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: ASR_MODEL
  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. -->

# ASR_MODEL

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4068

## 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: 0.0001
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4993        | 3.0769  | 100  | 0.4582          |
| 0.463         | 6.1538  | 200  | 0.4378          |
| 0.4489        | 9.2308  | 300  | 0.4288          |
| 0.44          | 12.3077 | 400  | 0.4194          |
| 0.4283        | 15.3846 | 500  | 0.4168          |
| 0.4277        | 18.4615 | 600  | 0.4105          |
| 0.4248        | 21.5385 | 700  | 0.4095          |
| 0.4184        | 24.6154 | 800  | 0.4081          |
| 0.4179        | 27.6923 | 900  | 0.4065          |
| 0.4134        | 30.7692 | 1000 | 0.4068          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1