File size: 3,028 Bytes
a36d338 7db09ba a36d338 7db09ba a36d338 7db09ba a36d338 e6e8030 a36d338 7db09ba a36d338 e6e8030 a36d338 7db09ba a36d338 e6e8030 a36d338 e6e8030 a36d338 7db09ba a36d338 7db09ba a36d338 |
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 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
---
language:
- ar
license: apache-2.0
tags:
- ar-asr-leaderboard
- generated_from_trainer
datasets:
- AXAI/client
metrics:
- wer
base_model: openai/whisper-small
model-index:
- name: Whisper small Ar - AxAI
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Client
type: AXAI/client
config: default
split: None
args: default
metrics:
- type: wer
value: 84.11458333333334
name: Wer
---
<!-- 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 Ar - AxAI
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Client dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5990
- Wer: 84.1146
## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.8044 | 6.37 | 200 | 1.2417 | 69.9219 |
| 0.036 | 12.75 | 400 | 1.1791 | 60.9375 |
| 0.0108 | 19.12 | 600 | 1.3128 | 80.2083 |
| 0.0035 | 25.5 | 800 | 1.3641 | 62.6953 |
| 0.0009 | 31.87 | 1000 | 1.4066 | 66.6016 |
| 0.0004 | 38.25 | 1200 | 1.4410 | 64.5833 |
| 0.0003 | 44.62 | 1400 | 1.4712 | 63.3464 |
| 0.0002 | 51.0 | 1600 | 1.4927 | 63.6068 |
| 0.0002 | 57.37 | 1800 | 1.5102 | 67.1875 |
| 0.0002 | 63.75 | 2000 | 1.5254 | 66.6016 |
| 0.0001 | 70.12 | 2200 | 1.5393 | 77.8646 |
| 0.0001 | 76.49 | 2400 | 1.5512 | 77.9297 |
| 0.0001 | 82.87 | 2600 | 1.5616 | 77.7344 |
| 0.0001 | 89.24 | 2800 | 1.5710 | 83.1380 |
| 0.0001 | 95.62 | 3000 | 1.5791 | 88.0859 |
| 0.0001 | 101.99 | 3200 | 1.5854 | 88.1510 |
| 0.0001 | 108.37 | 3400 | 1.5910 | 88.0859 |
| 0.0001 | 114.74 | 3600 | 1.5953 | 84.1146 |
| 0.0001 | 121.12 | 3800 | 1.5978 | 84.1797 |
| 0.0001 | 127.49 | 4000 | 1.5990 | 84.1146 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
|