|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5717 |
|
- Wer: 34.5241 |
|
|
|
## 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-06 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 4 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.6221 | 0.62 | 1000 | 0.5345 | 35.9711 | |
|
| 0.4318 | 1.25 | 2000 | 0.5271 | 34.9537 | |
|
| 0.3859 | 1.87 | 3000 | 0.5338 | 34.3658 | |
|
| 0.3005 | 2.49 | 4000 | 0.5532 | 34.8858 | |
|
| 0.2444 | 3.12 | 5000 | 0.5628 | 33.7102 | |
|
| 0.315 | 3.74 | 6000 | 0.5717 | 34.5241 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.12.1 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
