---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_keras_callback
model-index:
- name: whisper_charsplit_new_round2__0004
  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__0004

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: 0.0019
- Train Accuracy: 0.0795
- Train Wermet: 8.9450
- Validation Loss: 0.5623
- Validation Accuracy: 0.0766
- Validation Wermet: 7.7117
- Epoch: 3

## 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     |


### Framework versions

- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3