mr stt 1st finetuning

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5771
• eval_wer: 25.9487
• eval_runtime: 958.3173
• eval_samples_per_second: 1.637
• eval_steps_per_second: 0.206
• epoch: 0.6098
• step: 1000

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: 5e-07
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1