File size: 2,241 Bytes
5bdf445 e1e2e54 5bdf445 e1e2e54 5bdf445 ad18cdd 5bdf445 ad18cdd 5bdf445 ad18cdd 5bdf445 c578c9c 5bdf445 |
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 |
---
license: apache-2.0
language:
- pa
tags:
- generated_from_trainer
- whisper-event
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Punjabi
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 pa-IN
type: mozilla-foundation/common_voice_11_0
config: pa-IN
split: test
args: pa-IN
metrics:
- name: Wer
type: wer
value: 39.04688700999232
---
<!-- 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 Punjabi
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: 0.5991
- Wer: 39.0469
## 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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4346 | 5.01 | 50 | 0.3902 | 49.6797 |
| 0.0728 | 11.0 | 100 | 0.3811 | 40.7379 |
| 0.009 | 16.02 | 150 | 0.4924 | 39.5081 |
| 0.0028 | 22.0 | 200 | 0.5309 | 38.7394 |
| 0.0008 | 27.02 | 250 | 0.5687 | 38.6369 |
| 0.0006 | 33.01 | 300 | 0.5859 | 39.0213 |
| 0.0005 | 38.02 | 350 | 0.5954 | 39.0981 |
| 0.0005 | 44.01 | 400 | 0.5991 | 39.0469 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
|