transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer pt dataset:mozilla-foundation/common_voice_11_0 base_model:openai/whisper-medium license:apache-2.0 endpoints_compatible region:us
---
language:
- pt
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: medgical pt large augmented
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# medgical pt large augmented

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the  medgical large synthetic augmented  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-05
- train_batch_size: 14
- 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: 1
- training_steps: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.3.2
- Tokenizers 0.15.0
