README.md

metadata

library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-960h
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vec-large-accents
    results: []

wav2vec-large-accents

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

• Loss: 0.2339
• Wer: 0.1275

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7123	4.4346	500	0.3163	0.1571

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3