metadata
language:
- es
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: FT-Spanish-openai/whisper-medium
results: []
FT-Spanish-openai/whisper-medium
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0134 | 4.83 | 250 | 0.0090 | 3.1136 |
| 0.0204 | 9.66 | 500 | 0.0153 | 2.9471 |
| 0.0248 | 14.49 | 750 | 0.0164 | 2.8472 |
| 0.0062 | 19.32 | 1000 | 0.0033 | 0.2581 |
| 0.0032 | 24.15 | 1250 | 0.0031 | 0.0833 |
| 0.0023 | 28.99 | 1500 | 0.0004 | 0.0083 |
| 0.0001 | 33.82 | 1750 | 0.0001 | 0.0 |
| 0.0 | 38.65 | 2000 | 0.0000 | 0.0 |
| 0.0 | 43.48 | 2250 | 0.0000 | 0.0 |
| 0.0 | 48.31 | 2500 | 0.0000 | 0.0 |
| 0.0 | 53.14 | 2750 | 0.0000 | 0.0 |
| 0.0 | 57.97 | 3000 | 0.0000 | 0.0 |
| 0.0 | 62.8 | 3250 | 0.0000 | 0.0 |
| 0.0 | 67.63 | 3500 | 0.0000 | 0.0 |
| 0.0 | 72.46 | 3750 | 0.0000 | 0.0 |
| 0.0 | 77.29 | 4000 | 0.0000 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0