README.md

metadata

library_name: transformers
language:
  - es
  - en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
  - generated_from_trainer
datasets:
  - facebook/covost2
metrics:
  - bleu
model-index:
  - name: Whisper-large-v3-for-translation
    results:
      - task:
          name: Translation
          type: translation
        dataset:
          name: covost2
          type: facebook/covost2
          config: es_en
          split: None
          args: 'config: es, split: test, train'
        metrics:
          - name: Bleu
            type: bleu
            value: 41.85386637078158

Whisper-large-v3-for-translation

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: 0.7779
• Bleu: 41.8539

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: 16
• 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	Bleu
0.6494	1.0	4939	0.7779	41.8539

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.20.3