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

hubert_base_arabic_mdd

This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2265
  • Wer: 1.0
  • Per: 1.0

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Wer Per
6.526 1.0 1637 3.3650 1.0 1.0
3.2555 2.0 3274 3.2755 1.0 1.0
3.2548 3.0 4911 3.2238 1.0 1.0
3.2385 4.0 6548 3.2845 1.0 1.0
3.2358 5.0 8185 3.2271 1.0 1.0
3.237 6.0 9822 3.2473 1.0 1.0
3.2622 7.0 11459 3.2289 1.0 1.0
3.2614 8.0 13096 3.2283 1.0 1.0
3.224 9.0 14733 3.2249 1.0 1.0
3.2221 10.0 16370 3.2335 1.0 1.0
3.222 11.0 18007 3.2357 1.0 1.0
3.2218 12.0 19644 3.2491 1.0 1.0
3.2183 13.0 21281 3.2446 1.0 1.0
3.2181 14.0 22918 3.2416 1.0 1.0
3.2164 15.0 24555 3.2259 1.0 1.0
3.2148 16.0 26192 3.2249 1.0 1.0
3.2139 17.0 27829 3.2327 1.0 1.0
3.2133 18.0 29466 3.2251 1.0 1.0
3.2128 19.0 31103 3.2288 1.0 1.0
3.2113 20.0 32740 3.2265 1.0 1.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0