---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_syl_cv12_pad_lob100__0035
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# whisper_syl_cv12_pad_lob100__0035

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:
- Train Loss: 0.0122
- Train Accuracy: 0.0362
- Train Wermet: 3.4515
- Validation Loss: 0.6043
- Validation Accuracy: 0.0236
- Validation Wermet: 3.8210
- Epoch: 34

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.0233     | 0.0115         | 1.6383       | 3.8616          | 0.0117              | 0.9516            | 0     |
| 4.4412     | 0.0127         | 0.8560       | 3.5410          | 0.0125              | 0.8971            | 1     |
| 4.0719     | 0.0138         | 0.8366       | 3.2944          | 0.0132              | 0.8706            | 2     |
| 3.8091     | 0.0146         | 0.8133       | 3.1691          | 0.0134              | 0.8487            | 3     |
| 3.6239     | 0.0152         | 0.7866       | 3.0647          | 0.0136              | 0.8282            | 4     |
| 3.4749     | 0.0156         | 0.7589       | 2.9835          | 0.0139              | 0.8049            | 5     |
| 3.3444     | 0.0161         | 0.7359       | 2.9351          | 0.0140              | 0.7979            | 6     |
| 3.2215     | 0.0165         | 0.7138       | 2.8468          | 0.0145              | 0.7589            | 7     |
| 3.0754     | 0.0172         | 0.6873       | 2.7530          | 0.0148              | 0.7413            | 8     |
| 2.8713     | 0.0181         | 0.6484       | 2.5226          | 0.0157              | 0.7017            | 9     |
| 2.5469     | 0.0197         | 0.5934       | 2.1931          | 0.0168              | 0.6285            | 10    |
| 2.0233     | 0.0225         | 0.4997       | 1.6411          | 0.0189              | 0.5215            | 11    |
| 1.3808     | 0.0264         | 0.3852       | 1.2401          | 0.0205              | 0.4238            | 12    |
| 0.9722     | 0.0290         | 0.3123       | 1.0195          | 0.0215              | 0.3682            | 13    |
| 0.7388     | 0.0305         | 0.2828       | 0.8773          | 0.0221              | 0.3322            | 14    |
| 0.5787     | 0.0317         | 0.2751       | 0.7970          | 0.0225              | 0.3083            | 15    |
| 0.4642     | 0.0325         | 0.2878       | 0.7315          | 0.0227              | 0.2964            | 16    |
| 0.3752     | 0.0332         | 0.4217       | 0.6897          | 0.0229              | 0.3297            | 17    |
| 0.3042     | 0.0338         | 0.7294       | 0.6572          | 0.0231              | 0.4453            | 18    |
| 0.2444     | 0.0343         | 1.1298       | 0.6369          | 0.0232              | 0.6637            | 19    |
| 0.1949     | 0.0348         | 1.6370       | 0.6180          | 0.0233              | 1.6119            | 20    |
| 0.1544     | 0.0352         | 1.6151       | 0.6149          | 0.0233              | 1.6843            | 21    |
| 0.1212     | 0.0355         | 1.3832       | 0.6066          | 0.0233              | 0.8721            | 22    |
| 0.0931     | 0.0357         | 1.2799       | 0.6034          | 0.0234              | 0.5109            | 23    |
| 0.0725     | 0.0359         | 1.0940       | 0.6102          | 0.0234              | 1.0111            | 24    |
| 0.0551     | 0.0361         | 1.2865       | 0.6000          | 0.0234              | 1.1393            | 25    |
| 0.0411     | 0.0361         | 1.8511       | 0.6037          | 0.0235              | 2.0574            | 26    |
| 0.0311     | 0.0362         | 1.7179       | 0.6018          | 0.0235              | 1.4847            | 27    |
| 0.0253     | 0.0362         | 0.9801       | 0.6010          | 0.0235              | 0.4457            | 28    |
| 0.0231     | 0.0362         | 0.9376       | 0.6046          | 0.0235              | 0.9247            | 29    |
| 0.0196     | 0.0362         | 0.6466       | 0.6078          | 0.0235              | 0.5271            | 30    |
| 0.0177     | 0.0362         | 0.4041       | 0.6155          | 0.0235              | 0.4352            | 31    |
| 0.0139     | 0.0362         | 0.4202       | 0.6037          | 0.0236              | 0.5585            | 32    |
| 0.0137     | 0.0362         | 0.8151       | 0.6015          | 0.0236              | 1.8476            | 33    |
| 0.0122     | 0.0362         | 3.4515       | 0.6043          | 0.0236              | 3.8210            | 34    |


### Framework versions

- Transformers 4.33.0.dev0
- TensorFlow 2.13.0
- Tokenizers 0.13.3