Whisper tiny Albanian Test

This model is a fine-tuned version of openai/whisper-base on the Common Voice 16 Albanian dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.2684
• eval_wer: 71.3646
• eval_runtime: 99.9792
• eval_samples_per_second: 3.841
• eval_steps_per_second: 0.96
• epoch: 46.3
• step: 2500

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2