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metadata
license: apache-2.0
base_model: facebook/hubert-base-ls960
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: hubert-base-ls960-ft
    results: []

hubert-base-ls960-ft

This model is a fine-tuned version of facebook/hubert-base-ls960 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0962
  • Accuracy: 0.9724

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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3354 1.0 8558 0.0867 0.9762
0.2886 2.0 17117 0.0787 0.9780
0.3823 3.0 25674 0.0729 0.9801

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.2
  • Datasets 2.17.1
  • Tokenizers 0.15.2