---
license: apache-2.0
base_model: bigmorning/whisper_charsplit_new_round2__0061
tags:
- generated_from_keras_callback
model-index:
- name: whisper_charsplit_new_round3__0027
  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_round3__0027

This model is a fine-tuned version of [bigmorning/whisper_charsplit_new_round2__0061](https://huggingface.co/bigmorning/whisper_charsplit_new_round2__0061) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0000
- Train Accuracy: 0.0795
- Train Wermet: 8.2151
- Validation Loss: 0.5614
- Validation Accuracy: 0.0771
- Validation Wermet: 7.1972
- Epoch: 26

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 0.0009     | 0.0795         | 7.9492       | 0.5730          | 0.0769              | 7.2856            | 0     |
| 0.0015     | 0.0795         | 8.4221       | 0.5756          | 0.0769              | 7.1487            | 1     |
| 0.0012     | 0.0795         | 7.8476       | 0.5699          | 0.0769              | 6.5976            | 2     |
| 0.0010     | 0.0795         | 7.6843       | 0.5740          | 0.0769              | 6.9513            | 3     |
| 0.0014     | 0.0795         | 8.0796       | 0.5763          | 0.0768              | 7.4043            | 4     |
| 0.0019     | 0.0795         | 7.7274       | 0.5724          | 0.0769              | 6.4922            | 5     |
| 0.0008     | 0.0795         | 7.3468       | 0.5734          | 0.0769              | 6.1909            | 6     |
| 0.0009     | 0.0795         | 7.2393       | 0.5816          | 0.0769              | 6.5734            | 7     |
| 0.0010     | 0.0795         | 7.5822       | 0.5755          | 0.0769              | 6.6613            | 8     |
| 0.0004     | 0.0795         | 7.3807       | 0.5698          | 0.0770              | 7.0671            | 9     |
| 0.0001     | 0.0795         | 7.7157       | 0.5681          | 0.0771              | 6.8391            | 10    |
| 0.0001     | 0.0795         | 7.7540       | 0.5725          | 0.0771              | 6.9281            | 11    |
| 0.0001     | 0.0795         | 7.7721       | 0.5726          | 0.0771              | 6.8911            | 12    |
| 0.0000     | 0.0795         | 7.8163       | 0.5721          | 0.0771              | 6.8876            | 13    |
| 0.0000     | 0.0795         | 7.7745       | 0.5741          | 0.0771              | 6.8770            | 14    |
| 0.0000     | 0.0795         | 7.7277       | 0.5752          | 0.0771              | 6.8671            | 15    |
| 0.0000     | 0.0795         | 7.7355       | 0.5765          | 0.0771              | 6.8447            | 16    |
| 0.0000     | 0.0795         | 7.7109       | 0.5784          | 0.0771              | 6.8560            | 17    |
| 0.0000     | 0.0795         | 7.7427       | 0.5796          | 0.0771              | 6.8406            | 18    |
| 0.0003     | 0.0795         | 7.6709       | 0.6610          | 0.0762              | 7.0119            | 19    |
| 0.0115     | 0.0793         | 8.3288       | 0.5580          | 0.0769              | 7.1457            | 20    |
| 0.0013     | 0.0795         | 8.2537       | 0.5574          | 0.0770              | 6.7708            | 21    |
| 0.0004     | 0.0795         | 8.0507       | 0.5619          | 0.0770              | 7.0678            | 22    |
| 0.0003     | 0.0795         | 8.0534       | 0.5593          | 0.0771              | 7.0433            | 23    |
| 0.0002     | 0.0795         | 8.1738       | 0.5604          | 0.0771              | 7.1617            | 24    |
| 0.0001     | 0.0795         | 8.1494       | 0.5589          | 0.0771              | 7.1609            | 25    |
| 0.0000     | 0.0795         | 8.2151       | 0.5614          | 0.0771              | 7.1972            | 26    |


### Framework versions

- Transformers 4.32.0.dev0
- TensorFlow 2.12.0
- Tokenizers 0.13.3