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---
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper4
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. -->
# whisper4
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5409
- Wer: 28.2719
## 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: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 300
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 3.8231 | 0.2778 | 10 | 3.7088 | 76.9377 |
| 3.1925 | 0.5556 | 20 | 2.9439 | 65.5654 |
| 2.1383 | 0.8333 | 30 | 1.7221 | 61.5311 |
| 1.0671 | 1.1111 | 40 | 0.8320 | 50.6989 |
| 0.6947 | 1.3889 | 50 | 0.6587 | 41.0102 |
| 0.6263 | 1.6667 | 60 | 0.5874 | 29.7967 |
| 0.5827 | 1.9444 | 70 | 0.5402 | 27.3825 |
| 0.4222 | 2.2222 | 80 | 0.5154 | 32.0521 |
| 0.4065 | 2.5 | 90 | 0.4997 | 25.6989 |
| 0.3959 | 2.7778 | 100 | 0.4804 | 23.8247 |
| 0.3081 | 3.0556 | 110 | 0.4670 | 24.8412 |
| 0.2497 | 3.3333 | 120 | 0.4687 | 23.2846 |
| 0.2535 | 3.6111 | 130 | 0.4594 | 23.0940 |
| 0.2428 | 3.8889 | 140 | 0.4545 | 23.5070 |
| 0.1627 | 4.1667 | 150 | 0.4651 | 24.4917 |
| 0.1224 | 4.4444 | 160 | 0.4686 | 23.6976 |
| 0.1326 | 4.7222 | 170 | 0.4653 | 23.6976 |
| 0.1334 | 5.0 | 180 | 0.4741 | 24.7459 |
| 0.0659 | 5.2778 | 190 | 0.4792 | 24.6823 |
| 0.0639 | 5.5556 | 200 | 0.4760 | 33.3863 |
| 0.0667 | 5.8333 | 210 | 0.4820 | 25.4765 |
| 0.042 | 6.1111 | 220 | 0.4933 | 29.4155 |
| 0.0325 | 6.3889 | 230 | 0.5066 | 29.9873 |
| 0.0333 | 6.6667 | 240 | 0.5126 | 26.0801 |
| 0.0333 | 6.9444 | 250 | 0.5073 | 24.6188 |
| 0.0187 | 7.2222 | 260 | 0.5129 | 27.3507 |
| 0.0214 | 7.5 | 270 | 0.5209 | 28.2084 |
| 0.0187 | 7.7778 | 280 | 0.5213 | 29.3202 |
| 0.0312 | 8.0556 | 290 | 0.5274 | 34.6569 |
| 0.0172 | 8.3333 | 300 | 0.5409 | 28.2719 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1
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