File size: 2,005 Bytes
d40ca22 01d1bb5 d40ca22 01d1bb5 d40ca22 01d1bb5 d40ca22 01d1bb5 d40ca22 |
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 |
---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-khmer-aug
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-tiny-khmer-aug
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2697
- Wer: 68.1206
## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8969 | 1.0 | 670 | 0.4289 | 91.3572 |
| 0.3822 | 2.0 | 1340 | 0.3025 | 79.3741 |
| 0.292 | 3.0 | 2010 | 0.2727 | 85.6819 |
| 0.2439 | 4.0 | 2680 | 0.2637 | 74.1365 |
| 0.2124 | 5.0 | 3350 | 0.2548 | 70.2124 |
| 0.1844 | 6.0 | 4020 | 0.2606 | 79.7470 |
| 0.1651 | 7.0 | 4690 | 0.2505 | 68.5909 |
| 0.1472 | 8.0 | 5360 | 0.2637 | 67.9261 |
| 0.1344 | 9.0 | 6030 | 0.2672 | 66.2234 |
| 0.1194 | 10.0 | 6700 | 0.2697 | 68.1206 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1
|