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End of training
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metadata
base_model: YassineBenlaria/testing_pretrained_tamasheq_only
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: testing_pretrained_tamasheq_only
    results: []

testing_pretrained_tamasheq_only

This model is a fine-tuned version of YassineBenlaria/testing_pretrained_tamasheq_only on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4042
  • Wer: 0.8037

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: 350

Training results

Training Loss Epoch Step Validation Loss Wer
3.6733 35.29 300 2.7902 1.0
2.3267 70.59 600 1.7481 0.8778
1.003 105.88 900 1.8251 0.8
0.6905 141.18 1200 2.0436 0.8148
0.5074 176.47 1500 2.1611 0.8259
0.3883 211.76 1800 2.2562 0.8333
0.3431 247.06 2100 2.3761 0.8148
0.3053 282.35 2400 2.3995 0.8074
0.2898 317.65 2700 2.4042 0.8037

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3