metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-medium-1113
results: []
whisper-medium-1113
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4282
- eval_wer: 100.0222
- eval_runtime: 126.5405
- eval_samples_per_second: 4.678
- eval_steps_per_second: 0.395
- epoch: 6.06
- step: 1200
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: 12
- eval_batch_size: 12
- 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 4.27.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.12.1