---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_charsplit_new_round2__0017
  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_charsplit_new_round2__0017

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: 0.0005
- Train Accuracy: 0.0795
- Train Wermet: 9.0553
- Validation Loss: 0.5620
- Validation Accuracy: 0.0768
- Validation Wermet: 8.5020
- Epoch: 16

## 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 Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 0.0010     | 0.0795         | 8.7507       | 0.5575          | 0.0767              | 7.6778            | 0     |
| 0.0013     | 0.0795         | 8.9468       | 0.5652          | 0.0766              | 8.3360            | 1     |
| 0.0025     | 0.0795         | 8.7338       | 0.5673          | 0.0765              | 8.3770            | 2     |
| 0.0019     | 0.0795         | 8.9450       | 0.5623          | 0.0766              | 7.7117            | 3     |
| 0.0011     | 0.0795         | 8.9053       | 0.5609          | 0.0767              | 7.5155            | 4     |
| 0.0012     | 0.0795         | 8.8862       | 0.5667          | 0.0767              | 8.2913            | 5     |
| 0.0009     | 0.0795         | 8.7510       | 0.5642          | 0.0766              | 7.9083            | 6     |
| 0.0037     | 0.0795         | 9.3428       | 0.5717          | 0.0764              | 8.2631            | 7     |
| 0.0031     | 0.0795         | 9.2135       | 0.5636          | 0.0766              | 8.2384            | 8     |
| 0.0011     | 0.0795         | 8.9730       | 0.5605          | 0.0767              | 8.3958            | 9     |
| 0.0005     | 0.0795         | 9.3749       | 0.5552          | 0.0768              | 8.0800            | 10    |
| 0.0003     | 0.0795         | 9.3340       | 0.5584          | 0.0768              | 8.1322            | 11    |
| 0.0005     | 0.0795         | 9.2292       | 0.5687          | 0.0767              | 8.5576            | 12    |
| 0.0037     | 0.0795         | 9.2838       | 0.5751          | 0.0765              | 7.4189            | 13    |
| 0.0038     | 0.0795         | 8.7270       | 0.5605          | 0.0767              | 7.7098            | 14    |
| 0.0012     | 0.0795         | 8.8259       | 0.5563          | 0.0768              | 8.2647            | 15    |
| 0.0005     | 0.0795         | 9.0553       | 0.5620          | 0.0768              | 8.5020            | 16    |


### Framework versions

- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3