---
language:
- eng
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- '[finetuned_model, lj_speech11]'
- generated_from_trainer
datasets:
- FYP/LJ-SpeechLJ
model-index:
- name: SpeechT5 STT Wav2Vec2
  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 STT Wav2Vec2

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the Lj-Speech dataset.
It achieves the following results on the evaluation set:
- Loss: 310.7488

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3527.1737     | 0.5362 | 50   | 433.5859        |
| 441.3472      | 1.0724 | 100  | 331.3980        |
| 404.9114      | 1.6086 | 150  | 379.2116        |
| 330.0151      | 2.1448 | 200  | 319.7489        |
| 346.7672      | 2.6810 | 250  | 307.3814        |
| 398.5639      | 3.2172 | 300  | 349.2720        |
| 331.2473      | 3.7534 | 350  | 308.0336        |
| 311.4908      | 4.2895 | 400  | 306.9877        |
| 312.0619      | 4.8257 | 450  | 310.7488        |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1