metadata
library_name: peft
tags:
- generated_from_trainer
base_model: Wsassi/whisper-small-minds14
metrics:
- wer
model-index:
- name: whisper-small-minds14
results: []
whisper-small-minds14
This model is a fine-tuned version of Wsassi/whisper-small-minds14 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2677
- Wer: 6.4516
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2898 | 12.5 | 25 | 2.8612 | 3.2258 |
| 2.0737 | 25.0 | 50 | 2.1099 | 3.2258 |
| 1.4161 | 37.5 | 75 | 1.6899 | 3.2258 |
| 1.2353 | 50.0 | 100 | 1.4505 | 3.2258 |
| 1.1164 | 62.5 | 125 | 1.3412 | 3.2258 |
| 1.1138 | 75.0 | 150 | 1.2952 | 6.4516 |
| 0.9938 | 87.5 | 175 | 1.2741 | 6.4516 |
| 1.0179 | 100.0 | 200 | 1.2677 | 6.4516 |
Framework versions
- PEFT 0.11.1
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.19.2
- Tokenizers 0.15.1