README.md

metadata

language:
  - eng
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
  - '[finetuned_model, lj_speech11]'
  - generated_from_trainer
datasets:
  - FYP/LJ-Speech1111
model-index:
  - name: SpeechT5 STT Wav2Vec2
    results: []

SpeechT5 STT Wav2Vec2

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the Lj-Speech dataset. It achieves the following results on the evaluation set:

• Loss: nan

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
0.0	1.1277	53	nan
0.0	2.2553	106	nan

Framework versions

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