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# whisper-small-hi-2400_500_120

This model is a fine-tuned version of [saif-daoud/whisper-small-hi-2400_500_103](https://huggingface.co/saif-daoud/whisper-small-hi-2400_500_103) on the afrispeech-200 dataset.

## 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:
- learning_rate: 1e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 300
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "datasets": ["afrispeech-200"], "model-index": [{"name": "whisper-small-hi-2400_500_120", "results": []}]}
transformers pytorch whisper automatic-speech-recognition generated_from_trainer dataset:afrispeech-200 endpoints_compatible region:us
TAGS
#transformers #pytorch #whisper #automatic-speech-recognition #generated_from_trainer #dataset-afrispeech-200 #endpoints_compatible #region-us 




# whisper-small-hi-2400_500_120

This model is a fine-tuned version of saif-daoud/whisper-small-hi-2400_500_103 on the afrispeech-200 dataset.

## 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:
- learning_rate: 1e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 300
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2

# whisper-small-hi-2400_500_120

This model is a fine-tuned version of saif-daoud/whisper-small-hi-2400_500_103 on the afrispeech-200 dataset. ## 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:
- learning_rate: 1e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 300
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #whisper #automatic-speech-recognition #generated_from_trainer #dataset-afrispeech-200 #endpoints_compatible #region-us 
 # whisper-small-hi-2400_500_120

This model is a fine-tuned version of saif-daoud/whisper-small-hi-2400_500_103 on the afrispeech-200 dataset. ## 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:
- learning_rate: 1e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 300
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2