---
base_model: PFE-IRM/Whisper-IRM
tags:
- generated_from_trainer
model-index:
- name: Whisper-Augmented-11-latin
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper-Augmented-11-latin

This model is a fine-tuned version of [PFE-IRM/Whisper-IRM](https://huggingface.co/PFE-IRM/Whisper-IRM) on an unknown dataset.
It achieves the following results on the evaluation set:
- epoch: 1.71
- eval_loss: 0.1432
- eval_runtime: 5360.4927
- eval_samples_per_second: 2.327
- eval_steps_per_second: 0.291
- eval_wer: 13.1648
- step: 4000

## 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: 1.25e-05
- train_batch_size: 16
- 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2