metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- librispeech
model-index:
- name: Whisper Small English 1h
results: []
Whisper Small English 1h
This model is a fine-tuned version of openai/whisper-small on the librispeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.1261
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 |
|---|---|---|---|
| 0.4354 | 1.0 | 360 | 0.6277 |
| 0.3417 | 2.0 | 720 | 0.5204 |
| 0.2939 | 3.0 | 1080 | 0.4573 |
| 0.097 | 4.0 | 1440 | 0.1347 |
| 0.0839 | 5.0 | 1800 | 0.1294 |
| 0.0811 | 6.0 | 2160 | 0.1275 |
| 0.0884 | 7.0 | 2520 | 0.1268 |
| 0.0925 | 8.0 | 2880 | 0.1263 |
| 0.0858 | 9.0 | 3240 | 0.1261 |
| 0.0805 | 10.0 | 3600 | 0.1261 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1