metadata
library_name: transformers
language:
- spa
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Tiny Few Reports - vfranchis
results: []
Whisper Tiny Few Reports - vfranchis
This model is a fine-tuned version of openai/whisper-tiny on the Few reports 1.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9024
- Wer: 99.3499
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: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9187 | 3.0769 | 10 | 3.0330 | 102.4919 |
| 2.7035 | 6.1538 | 20 | 2.1277 | 126.2189 |
| 2.0516 | 9.2308 | 30 | 1.6559 | 82.9902 |
| 1.5833 | 12.3077 | 40 | 1.3689 | 83.5320 |
| 1.301 | 15.3846 | 50 | 1.1881 | 98.0498 |
| 1.1102 | 18.4615 | 60 | 1.0681 | 111.9177 |
| 1.0133 | 21.5385 | 70 | 0.9908 | 106.1755 |
| 0.8926 | 24.6154 | 80 | 0.9402 | 100.3250 |
| 0.8362 | 27.6923 | 90 | 0.9127 | 99.2416 |
| 0.845 | 30.7692 | 100 | 0.9024 | 99.3499 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1