metadata
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Test Small FR DnD - Joey Martig
results: []
Test Small FR DnD - Joey Martig
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0796
- Wer: 74.7059
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 7 | 1.4690 | 51.0924 |
| No log | 2.0 | 14 | 1.2158 | 47.1429 |
| No log | 3.0 | 21 | 0.9747 | 43.6975 |
| No log | 4.0 | 28 | 0.7241 | 35.2941 |
| No log | 5.0 | 35 | 0.4766 | 91.5126 |
| No log | 6.0 | 42 | 0.3080 | 97.8151 |
| No log | 7.0 | 49 | 0.1937 | 78.2353 |
| No log | 8.0 | 56 | 0.1173 | 78.2353 |
| No log | 9.0 | 63 | 0.0884 | 73.4454 |
| No log | 10.0 | 70 | 0.0796 | 74.7059 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1