tamasheq-99-2 / README.md
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metadata
license: apache-2.0
base_model: ad019el/tamasheq-99-1
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: tamasheq-99-2
    results: []

tamasheq-99-2

This model is a fine-tuned version of ad019el/tamasheq-99-1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3479
  • Wer: 0.4957

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: 3e-05
  • 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: 500
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer
4.3118 6.0 300 0.8477 0.8593
0.4823 12.0 600 0.3741 0.5064
0.2054 18.0 900 0.3855 0.5027
0.1798 24.0 1200 0.3700 0.5023
0.2097 30.0 1500 0.3479 0.4957

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3