metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: local_fr
results: []
local_fr
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4986
- Model Preparation Time: 0.0006
- Wer: 75.0
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
|---|---|---|---|---|---|
| 1.9152 | 5.0 | 5 | 2.4986 | 0.0006 | 75.0 |
| 1.7317 | 10.0 | 10 | 2.4449 | 0.0006 | 75.0 |
| 1.4026 | 15.0 | 15 | 2.3783 | 0.0006 | 85.0 |
| 1.0429 | 20.0 | 20 | 2.3206 | 0.0006 | 90.0 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3