File size: 2,138 Bytes
5a9eed4 |
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 |
---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: whisper-tiny-kor-16k-hf-ep100
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-kor-16k-hf-ep100
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9175
- Cer: 29.8227
## 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: 5e-05
- train_batch_size: 128
- 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
- num_epochs: 100
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1166 | 7.94 | 1000 | 0.6351 | 34.2349 |
| 0.0024 | 15.87 | 2000 | 0.7071 | 33.1900 |
| 0.0015 | 23.81 | 3000 | 0.7484 | 29.1958 |
| 0.0009 | 31.75 | 4000 | 0.7972 | 29.5301 |
| 0.0008 | 39.68 | 5000 | 0.8082 | 29.1122 |
| 0.0003 | 47.62 | 6000 | 0.8581 | 29.5182 |
| 0.0 | 55.56 | 7000 | 0.8756 | 29.6316 |
| 0.0 | 63.49 | 8000 | 0.8922 | 29.6316 |
| 0.0004 | 71.43 | 9000 | 0.8693 | 29.5958 |
| 0.0 | 79.37 | 10000 | 0.8930 | 29.9003 |
| 0.0 | 87.3 | 11000 | 0.9081 | 29.7212 |
| 0.0 | 95.24 | 12000 | 0.9175 | 29.8227 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
|