|
--- |
|
base_model: openai/whisper-small |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
language: |
|
- hi |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: Whisper Small Diny |
|
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 Small Diny |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3108 |
|
|
|
## 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: 0.0001 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.5747 | 1.0 | 4 | 3.8772 | |
|
| 3.5154 | 2.0 | 8 | 3.7508 | |
|
| 3.3537 | 3.0 | 12 | 3.5159 | |
|
| 3.1336 | 4.0 | 16 | 3.2003 | |
|
| 2.9481 | 5.0 | 20 | 2.8626 | |
|
| 2.5179 | 6.0 | 24 | 2.5561 | |
|
| 2.3247 | 7.0 | 28 | 2.2656 | |
|
| 2.1071 | 8.0 | 32 | 1.9826 | |
|
| 1.7406 | 9.0 | 36 | 1.6799 | |
|
| 1.5765 | 10.0 | 40 | 1.3108 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
