---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2_lora_int8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-large-v2_lora_int8

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1738

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7199        | 0.0   | 1    | 2.3895          |
| 0.1977        | 0.29  | 1000 | 0.1973          |
| 0.1777        | 0.58  | 2000 | 0.1846          |
| 0.1693        | 0.88  | 3000 | 0.1780          |
| 0.1579        | 1.17  | 4000 | 0.1753          |
| 0.157         | 1.46  | 5000 | 0.1738          |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3