|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-medium-ft-GPT_2 |
|
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-medium-ft-GPT_2 |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2050 |
|
- Wer: 16.5802 |
|
- Gpt: 8.8352 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 6 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Gpt | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| |
|
| 0.6033 | 1.0 | 188 | 0.2203 | 22.8603 | 8.5556 | |
|
| 0.116 | 2.0 | 376 | 0.1960 | 15.4966 | 8.7544 | |
|
| 0.0392 | 3.0 | 564 | 0.1955 | 14.0854 | 8.9071 | |
|
| 0.0155 | 4.0 | 752 | 0.2029 | 16.9373 | 8.7654 | |
|
| 0.0052 | 5.0 | 940 | 0.2053 | 16.7842 | 8.6612 | |
|
| 0.0015 | 6.0 | 1128 | 0.2050 | 16.5802 | 8.8352 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.1 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
