metadata

library_name: transformers
license: apache-2.0
base_model: deepdml/whisper-large-v3-turbo
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: output_dir
    results: []

output_dir

This model is a fine-tuned version of deepdml/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4598
Wer: 20.0

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: 64
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7947	1.0	1	1.4598	20.0

Framework versions

Transformers 4.47.0
Pytorch 2.3.0+cu121
Datasets 3.2.0
Tokenizers 0.21.0