.ipynb_checkpoints/README-checkpoint.md

metadata

language:
  - br
license: apache-2.0
base_model: openai/whisper-base
tags:
  - generated_from_trainer
model-index:
  - name: Whisper-base breton
    results: []

Whisper-base breton

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

• eval_loss: 0.7491
• eval_wer: 49.5495
• eval_cer: 20.0403
• eval_runtime: 453.5073
• eval_samples_per_second: 5.638
• eval_steps_per_second: 0.706
• epoch: 8.14
• step: 3500

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: 8e-06
• train_batch_size: 16
• 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: 300
• training_steps: 6000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.39.1
• Pytorch 2.0.1+cu117
• Datasets 2.18.0
• Tokenizers 0.15.2