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---
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
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper-large-v3-for-translation
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/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
|