File size: 1,668 Bytes
c18d426 8309e0f c18d426 fc7d9cf c18d426 fc7d9cf c18d426 765c76a c18d426 4983462 fc7d9cf c18d426 4983462 c18d426 bd19250 765c76a c18d426 9636ce8 765c76a c18d426 bd19250 8309e0f |
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 |
---
language:
- nan
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
base_model: openai/whisper-small
model-index:
- name: Whisper small Taiwanese - LoRA
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 Taiwanese - LoRA
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9023
## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9794 | 1.0 | 2500 | 1.0233 |
| 0.7059 | 3.0 | 7500 | 0.8989 |
| 0.5047 | 5.0 | 12500 | 0.9023 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |