metadata

library_name: transformers
language:
  - es
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
  - generated_from_trainer
datasets:
  - facebook/covost2
metrics:
  - wer
model-index:
  - name: Whisper-large-v3-spanish-transcription-v2
    results: []

Whisper-large-v3-spanish-transcription-v2

This model is a fine-tuned version of openai/whisper-large-v3 on the covost2 dataset. It achieves the following results on the evaluation set:

Loss: 0.1302
Wer: 9.3640

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: 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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.113	1.0	4939	0.1302	9.3640

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3