---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_havest_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_havest_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: 3.5897
- Train Accuracy: 0.0150
- Train Do Wer: 1.0
- Validation Loss: 4.5822
- Validation Accuracy: 0.0130
- Validation Do Wer: 1.0
- 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': 1e-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 Do Wer | Validation Loss | Validation Accuracy | Validation Do Wer | Epoch |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 9.9191     | 0.0046         | 1.0          | 8.5836          | 0.0067              | 1.0               | 0     |
| 8.0709     | 0.0083         | 1.0          | 7.4667          | 0.0089              | 1.0               | 1     |
| 7.1652     | 0.0100         | 1.0          | 6.8204          | 0.0112              | 1.0               | 2     |
| 6.7196     | 0.0114         | 1.0          | 6.5192          | 0.0114              | 1.0               | 3     |
| 6.4115     | 0.0115         | 1.0          | 6.2357          | 0.0115              | 1.0               | 4     |
| 6.1085     | 0.0115         | 1.0          | 5.9657          | 0.0115              | 1.0               | 5     |
| 5.8206     | 0.0115         | 1.0          | 5.7162          | 0.0115              | 1.0               | 6     |
| 5.5567     | 0.0115         | 1.0          | 5.4963          | 0.0115              | 1.0               | 7     |
| 5.3223     | 0.0116         | 1.0          | 5.3096          | 0.0116              | 1.0               | 8     |
| 5.1222     | 0.0117         | 1.0          | 5.1600          | 0.0117              | 1.0               | 9     |
| 4.9580     | 0.0117         | 1.0          | 5.0391          | 0.0118              | 1.0               | 10    |
| 4.8251     | 0.0119         | 1.0          | 4.9427          | 0.0118              | 1.0               | 11    |
| 4.7171     | 0.0119         | 1.0          | 4.8691          | 0.0119              | 1.0               | 12    |
| 4.6284     | 0.0121         | 1.0          | 4.8123          | 0.0120              | 1.0               | 13    |
| 4.5508     | 0.0121         | 1.0          | 4.7620          | 0.0121              | 1.0               | 14    |
| 4.4855     | 0.0123         | 1.0          | 4.7260          | 0.0121              | 1.0               | 15    |
| 4.4305     | 0.0124         | 1.0          | 4.7018          | 0.0123              | 1.0               | 16    |
| 4.3788     | 0.0125         | 1.0          | 4.6738          | 0.0123              | 1.0               | 17    |
| 4.3305     | 0.0127         | 1.0          | 4.6525          | 0.0124              | 1.0               | 18    |
| 4.2860     | 0.0128         | 1.0          | 4.6401          | 0.0125              | 1.0               | 19    |
| 4.2451     | 0.0130         | 1.0          | 4.6234          | 0.0126              | 1.0               | 20    |
| 4.1994     | 0.0132         | 1.0          | 4.6077          | 0.0128              | 1.0               | 21    |
| 4.1521     | 0.0133         | 1.0          | 4.6098          | 0.0129              | 1.0               | 22    |
| 4.1148     | 0.0134         | 1.0          | 4.5919          | 0.0129              | 1.0               | 23    |
| 4.0701     | 0.0135         | 1.0          | 4.6038          | 0.0128              | 1.0               | 24    |
| 4.0199     | 0.0137         | 1.0          | 4.5777          | 0.0130              | 1.0               | 25    |
| 3.9631     | 0.0138         | 1.0          | 4.5734          | 0.0131              | 1.0               | 26    |
| 3.9175     | 0.0140         | 1.0          | 4.5866          | 0.0129              | 1.0               | 27    |
| 3.8690     | 0.0142         | 1.0          | 4.5900          | 0.0129              | 1.0               | 28    |
| 3.8276     | 0.0143         | 1.0          | 4.5602          | 0.0131              | 1.0               | 29    |
| 3.7499     | 0.0145         | 1.0          | 4.5619          | 0.0132              | 1.0               | 30    |
| 3.6968     | 0.0147         | 1.0          | 4.6203          | 0.0133              | 1.0               | 31    |
| 3.6714     | 0.0149         | 1.0          | 4.7075          | 0.0133              | 1.0               | 32    |
| 3.6318     | 0.0149         | 1.0          | 4.6638          | 0.0125              | 1.0               | 33    |
| 3.5897     | 0.0150         | 1.0          | 4.5822          | 0.0130              | 1.0               | 34    |


### Framework versions

- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2