---
language:
- eng
license: apache-2.0
tags:
- '[finetuned_model, lj_speech11]'
- generated_from_trainer
base_model: facebook/wav2vec2-base-960h
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: 491.2500

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 494.9709      | 0.3795 | 50   | 486.0701        |
| 534.2352      | 0.7590 | 100  | 488.7172        |
| 816.0739      | 1.1385 | 150  | 490.4418        |
| 566.1295      | 1.5180 | 200  | 504.5211        |
| 586.0909      | 1.8975 | 250  | 489.5141        |
| 601.5043      | 2.2770 | 300  | 486.6875        |
| 487.8737      | 2.6565 | 350  | 489.5807        |
| 1145.4591     | 3.0361 | 400  | 511.4276        |
| 686.6008      | 3.4156 | 450  | 496.0722        |
| 664.612       | 3.7951 | 500  | 486.9992        |
| 630.4309      | 4.1746 | 550  | 500.0555        |
| 513.7977      | 4.5541 | 600  | 488.6891        |
| 494.3428      | 4.9336 | 650  | 491.2500        |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1