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# hamsa-beta-v0.2.3

This model is a fine-tuned version of [Ahmed107/hamsa-beta-v0.2.1](https://huggingface.co/Ahmed107/hamsa-beta-v0.2.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2392
- eval_wer_ortho: 19.7326
- eval_wer: 19.2746
- eval_runtime: 1385.8988
- eval_samples_per_second: 1.205
- eval_steps_per_second: 0.076
- epoch: 1.31
- step: 6000

## 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-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 8000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Ahmed107/hamsa-beta-v0.2.1", "model-index": [{"name": "hamsa-beta-v0.2.3", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:Ahmed107/hamsa-beta-v0.2.1 license:apache-2.0 endpoints_compatible region:us