File size: 2,217 Bytes
05576ea d2828b3 05576ea d2828b3 05576ea d2828b3 05576ea d2828b3 05576ea d2828b3 05576ea d2828b3 05576ea d2828b3 05576ea |
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 88 |
---
language:
- rw
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Kinyarwanda
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 rw
type: mozilla-foundation/common_voice_11_0
config: rw
split: test
args: rw
metrics:
- name: Wer
type: wer
value: 43.75236083594792
---
<!-- 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 Kinyarwanda
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 rw dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6424
- Wer: 43.7524
## 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: 20
- eval_batch_size: 20
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 40
- total_eval_batch_size: 40
- 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 | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7471 | 0.04 | 1000 | 0.9044 | 59.2903 |
| 0.5987 | 0.08 | 2000 | 0.7523 | 52.0232 |
| 0.5168 | 0.12 | 3000 | 0.6890 | 47.7610 |
| 0.5082 | 0.16 | 4000 | 0.6596 | 45.4013 |
| 0.4748 | 0.2 | 5000 | 0.6424 | 43.7524 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
|