File size: 2,455 Bytes
316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 56628ea 316cff7 446af12 316cff7 |
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 74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
---
language:
- sr
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Serbian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 sr
type: mozilla-foundation/common_voice_11_0
config: sr
split: test
args: sr
metrics:
- name: Wer
type: wer
value: 22.905706191825175
---
<!-- 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 Serbian
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 sr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5670
- Wer: 22.9057
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
The model was trained on the training + validation splits of the Serbian split of the Common Voice dataset and evaluated on the test split of the Serbian split from the Common Voice dataset.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 32
- 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: 800
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4257 | 5.0 | 100 | 0.4377 | 32.4160 |
| 0.0779 | 10.0 | 200 | 0.3928 | 23.7556 |
| 0.0108 | 15.0 | 300 | 0.4856 | 23.4318 |
| 0.0104 | 20.0 | 400 | 0.5637 | 25.4958 |
| 0.0069 | 25.0 | 500 | 0.5289 | 23.1485 |
| 0.0022 | 30.0 | 600 | 0.5670 | 22.9057 |
| 0.0012 | 35.0 | 700 | 0.5746 | 23.0271 |
| 0.0006 | 40.0 | 800 | 0.5810 | 23.1890 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
|