File size: 1,909 Bytes
8ccea98 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
language:
- qu
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- pollitoconpapass/quechua-cuzco-bible-audio-dataset
model-index:
- name: Whisper Small
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
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quechua Bible dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0765 | 12.5 | 500 | 0.0630 |
| 0.0413 | 25.0 | 1000 | 0.0294 |
| 0.0173 | 37.5 | 1500 | 0.0191 |
| 0.0161 | 50.0 | 2000 | 0.0116 |
| 0.0078 | 62.5 | 2500 | 0.0046 |
| 0.0071 | 75.0 | 3000 | 0.0039 |
| 0.0019 | 87.5 | 3500 | 0.0015 |
| 0.001 | 100.0 | 4000 | 0.0002 |
| 0.0007 | 112.5 | 4500 | 0.0002 |
| 0.0 | 125.0 | 5000 | 0.0002 |
### Framework versions
- Transformers 4.39.0
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|