metadata
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-car50-e3n4_owner6-copy16x_notmix-241203-v1
results: []
whisper-large-v2-ft-car50-e3n4_owner6-copy16x_notmix-241203-v1
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.0906 | 1.0 | 19 | 4.7857 |
| 3.5696 | 2.0 | 38 | 2.8320 |
| 2.2998 | 3.0 | 57 | 1.8344 |
| 1.4416 | 4.0 | 76 | 0.9068 |
| 0.4392 | 5.0 | 95 | 0.0274 |
| 0.014 | 6.0 | 114 | 0.0061 |
| 0.0034 | 7.0 | 133 | 0.0016 |
| 0.001 | 8.0 | 152 | 0.0006 |
| 0.0004 | 9.0 | 171 | 0.0003 |
| 0.0003 | 10.0 | 190 | 0.0003 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0