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# whisper_new_split_0075

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: 0.0003
- Train Accuracy: 0.0335
- Train Wermet: 36.5316
- Validation Loss: 0.5019
- Validation Accuracy: 0.0317
- Validation Wermet: 36.4560
- Epoch: 74

## 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 |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.1027     | 0.0113         | 52.5530      | 4.4267          | 0.0121              | 41.4796           | 0     |
| 4.3285     | 0.0126         | 38.6893      | 3.9835          | 0.0145              | 33.6050           | 1     |
| 3.4573     | 0.0168         | 30.7714      | 2.5568          | 0.0215              | 31.7559           | 2     |
| 2.0878     | 0.0226         | 20.5131      | 1.5738          | 0.0257              | 21.2159           | 3     |
| 1.3529     | 0.0258         | 17.4367      | 1.1712          | 0.0276              | 17.7695           | 4     |
| 0.9953     | 0.0275         | 18.7308      | 0.9389          | 0.0287              | 20.5259           | 5     |
| 0.7852     | 0.0286         | 18.5731      | 0.8074          | 0.0294              | 17.6576           | 6     |
| 0.6428     | 0.0293         | 18.2945      | 0.7219          | 0.0298              | 19.9850           | 7     |
| 0.5384     | 0.0299         | 18.9258      | 0.6610          | 0.0301              | 18.9327           | 8     |
| 0.4565     | 0.0304         | 19.0749      | 0.6117          | 0.0304              | 21.9796           | 9     |
| 0.3901     | 0.0308         | 19.2099      | 0.5693          | 0.0306              | 18.0965           | 10    |
| 0.3348     | 0.0312         | 20.4777      | 0.5449          | 0.0307              | 19.9518           | 11    |
| 0.2877     | 0.0315         | 20.3181      | 0.5232          | 0.0309              | 20.4017           | 12    |
| 0.2471     | 0.0318         | 19.2073      | 0.5057          | 0.0310              | 18.7612           | 13    |
| 0.2120     | 0.0320         | 19.0961      | 0.4925          | 0.0311              | 22.3187           | 14    |
| 0.1809     | 0.0323         | 20.7944      | 0.4849          | 0.0311              | 27.2314           | 15    |
| 0.1539     | 0.0325         | 22.0951      | 0.4787          | 0.0312              | 25.2171           | 16    |
| 0.1299     | 0.0327         | 22.7652      | 0.4733          | 0.0312              | 22.7492           | 17    |
| 0.1087     | 0.0329         | 25.2223      | 0.4701          | 0.0312              | 28.9044           | 18    |
| 0.0899     | 0.0330         | 24.8354      | 0.4715          | 0.0313              | 21.1618           | 19    |
| 0.0739     | 0.0332         | 25.4987      | 0.4680          | 0.0313              | 29.6304           | 20    |
| 0.0604     | 0.0333         | 27.6465      | 0.4693          | 0.0313              | 27.6937           | 21    |
| 0.0498     | 0.0333         | 27.7045      | 0.4711          | 0.0313              | 27.5013           | 22    |
| 0.0414     | 0.0334         | 28.0547      | 0.4689          | 0.0313              | 29.1776           | 23    |
| 0.0327     | 0.0334         | 27.5594      | 0.4718          | 0.0313              | 31.5623           | 24    |
| 0.0256     | 0.0335         | 27.3983      | 0.4710          | 0.0313              | 27.1071           | 25    |
| 0.0210     | 0.0335         | 24.7398      | 0.4736          | 0.0313              | 30.8282           | 26    |
| 0.0165     | 0.0335         | 25.1927      | 0.4773          | 0.0313              | 24.1750           | 27    |
| 0.0133     | 0.0335         | 25.6261      | 0.4807          | 0.0313              | 29.9520           | 28    |
| 0.0110     | 0.0335         | 25.8127      | 0.4825          | 0.0314              | 27.0813           | 29    |
| 0.0171     | 0.0335         | 26.0445      | 0.4858          | 0.0313              | 39.8503           | 30    |
| 0.0154     | 0.0335         | 28.6186      | 0.4766          | 0.0314              | 28.4465           | 31    |
| 0.0094     | 0.0335         | 27.8978      | 0.4778          | 0.0314              | 28.7775           | 32    |
| 0.0071     | 0.0335         | 27.8180      | 0.4775          | 0.0314              | 28.5229           | 33    |
| 0.0054     | 0.0335         | 27.4530      | 0.4807          | 0.0315              | 30.3598           | 34    |
| 0.0043     | 0.0335         | 27.2908      | 0.4833          | 0.0315              | 29.9185           | 35    |
| 0.0036     | 0.0335         | 27.9772      | 0.4870          | 0.0315              | 29.0761           | 36    |
| 0.0031     | 0.0335         | 29.0235      | 0.4901          | 0.0315              | 31.1068           | 37    |
| 0.0027     | 0.0335         | 28.2433      | 0.4930          | 0.0315              | 30.2512           | 38    |
| 0.0024     | 0.0335         | 33.0830      | 0.4968          | 0.0315              | 35.0547           | 39    |
| 0.0152     | 0.0334         | 30.0515      | 0.4999          | 0.0314              | 31.3169           | 40    |
| 0.0095     | 0.0335         | 30.0595      | 0.4917          | 0.0315              | 25.2631           | 41    |
| 0.0038     | 0.0335         | 23.3205      | 0.4882          | 0.0315              | 22.6513           | 42    |
| 0.0028     | 0.0335         | 23.9223      | 0.4847          | 0.0315              | 28.0730           | 43    |
| 0.0023     | 0.0335         | 28.1808      | 0.4919          | 0.0315              | 33.1382           | 44    |
| 0.0036     | 0.0335         | 32.2064      | 0.4898          | 0.0315              | 27.6573           | 45    |
| 0.0032     | 0.0335         | 31.5153      | 0.4964          | 0.0315              | 38.2573           | 46    |
| 0.0025     | 0.0335         | 35.6323      | 0.4925          | 0.0315              | 24.0359           | 47    |
| 0.0023     | 0.0335         | 30.3651      | 0.4937          | 0.0315              | 29.2069           | 48    |
| 0.0023     | 0.0335         | 32.4053      | 0.4968          | 0.0315              | 38.3220           | 49    |
| 0.0020     | 0.0335         | 39.4820      | 0.5002          | 0.0315              | 35.0649           | 50    |
| 0.0021     | 0.0335         | 33.6737      | 0.5188          | 0.0314              | 32.5078           | 51    |
| 0.0057     | 0.0335         | 31.5887      | 0.5069          | 0.0315              | 29.0739           | 52    |
| 0.0053     | 0.0335         | 30.3396      | 0.4958          | 0.0316              | 30.4228           | 53    |
| 0.0035     | 0.0335         | 30.4281      | 0.4911          | 0.0316              | 30.4131           | 54    |
| 0.0019     | 0.0335         | 36.0578      | 0.4909          | 0.0316              | 39.2006           | 55    |
| 0.0013     | 0.0335         | 36.1010      | 0.4927          | 0.0316              | 33.9386           | 56    |
| 0.0011     | 0.0335         | 30.4648      | 0.4979          | 0.0316              | 35.2314           | 57    |
| 0.0023     | 0.0335         | 37.5041      | 0.4983          | 0.0316              | 34.6155           | 58    |
| 0.0017     | 0.0335         | 34.4652      | 0.5023          | 0.0316              | 33.7523           | 59    |
| 0.0025     | 0.0335         | 38.1887      | 0.5096          | 0.0316              | 30.1588           | 60    |
| 0.0021     | 0.0335         | 35.3498      | 0.5017          | 0.0316              | 35.6420           | 61    |
| 0.0016     | 0.0335         | 36.5619      | 0.5123          | 0.0315              | 41.2840           | 62    |
| 0.0012     | 0.0335         | 35.5301      | 0.5119          | 0.0316              | 34.3617           | 63    |
| 0.0019     | 0.0335         | 36.1816      | 0.5121          | 0.0316              | 27.5481           | 64    |
| 0.0017     | 0.0335         | 30.6945      | 0.5029          | 0.0316              | 35.9216           | 65    |
| 0.0008     | 0.0335         | 33.8546      | 0.5078          | 0.0316              | 33.1414           | 66    |
| 0.0006     | 0.0335         | 31.3798      | 0.5029          | 0.0317              | 32.3190           | 67    |
| 0.0019     | 0.0335         | 33.7955      | 0.5385          | 0.0315              | 29.8659           | 68    |
| 0.0052     | 0.0335         | 38.4663      | 0.5129          | 0.0316              | 39.1985           | 69    |
| 0.0018     | 0.0335         | 43.0957      | 0.5033          | 0.0317              | 38.1586           | 70    |
| 0.0007     | 0.0335         | 41.8150      | 0.5006          | 0.0317              | 41.7822           | 71    |
| 0.0005     | 0.0335         | 35.9141      | 0.5015          | 0.0317              | 34.7363           | 72    |
| 0.0004     | 0.0335         | 33.7899      | 0.5018          | 0.0317              | 33.1280           | 73    |
| 0.0003     | 0.0335         | 36.5316      | 0.5019          | 0.0317              | 36.4560           | 74    |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "whisper_new_split_0075", "results": []}]}
transformers tf whisper automatic-speech-recognition generated_from_keras_callback license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #tf #whisper #automatic-speech-recognition #generated_from_keras_callback #license-apache-2.0 #endpoints_compatible #region-us 

whisper\_new\_split\_0075
=========================


This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 0.0003
* Train Accuracy: 0.0335
* Train Wermet: 36.5316
* Validation Loss: 0.5019
* Validation Accuracy: 0.0317
* Validation Wermet: 36.4560
* Epoch: 74


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



### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2



### 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 ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #whisper #automatic-speech-recognition #generated_from_keras_callback #license-apache-2.0 #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #whisper #automatic-speech-recognition #generated_from_keras_callback #license-apache-2.0 #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Tokenizers 0.13.2