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---
language:
- es
license: apache-2.0
base_model: openai/whisper-large
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large SEIN - COES SEIN
results: []
---
<!-- 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 SEIN - COES SEIN
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the SEIN COES dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 41.3688
## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0001 | 153.85 | 1000 | 0.0001 | 53.5687 |
| 0.0001 | 307.69 | 2000 | 0.0001 | 39.7393 |
| 0.0 | 461.54 | 3000 | 0.0000 | 42.4443 |
| 0.0 | 615.38 | 4000 | 0.0000 | 41.3688 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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