---
base_model: facebook/wav2vec2-base-960h
datasets:
- FYP/LJ-Speech1111LJ
language:
- eng
license: apache-2.0
tags:
- '[finetuned_model, lj_speech11]'
- generated_from_trainer
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: 509.3571

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 19536.3975    | 0.1376 | 50   | 8125.4639       |
| 2673.9081     | 0.2751 | 100  | 909.8571        |
| 1958.4278     | 0.4127 | 150  | 544.6085        |
| 1268.7548     | 0.5502 | 200  | 555.2729        |
| 1504.7081     | 0.6878 | 250  | 520.7637        |
| 1322.1669     | 0.8253 | 300  | 572.5987        |
| 1331.9734     | 0.9629 | 350  | 514.8672        |
| 1149.1491     | 1.1004 | 400  | 525.9183        |
| 1063.02       | 1.2380 | 450  | 511.6159        |
| 1063.2695     | 1.3755 | 500  | 521.9377        |
| 1037.6037     | 1.5131 | 550  | 511.7293        |
| 1065.5638     | 1.6506 | 600  | 510.2425        |
| 1025.7576     | 1.7882 | 650  | 506.2704        |
| 1132.412      | 1.9257 | 700  | 525.5427        |
| 1033.8723     | 2.0633 | 750  | 506.9381        |
| 1027.0328     | 2.2008 | 800  | 513.5829        |
| 1024.9632     | 2.3384 | 850  | 518.4105        |
| 1023.1637     | 2.4759 | 900  | 515.6079        |
| 1006.7498     | 2.6135 | 950  | 513.5686        |
| 1026.8645     | 2.7510 | 1000 | 507.8027        |
| 1026.9354     | 2.8886 | 1050 | 509.3571        |


### Framework versions

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