peft safetensors generated_from_trainer base_model:openai/whisper-large-v2 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v2
model-index:
- name: int8-whisper-large-v2-asr-gn-15-all-a100
  results: []
---

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# int8-whisper-large-v2-asr-gn-15-all-a100

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: 0.1441

## 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: 0.001
- train_batch_size: 64
- 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: 50
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5271        | 1.0   | 292  | 0.3598          |
| 0.3254        | 2.0   | 584  | 0.2609          |
| 0.2019        | 3.0   | 876  | 0.2030          |
| 0.1125        | 4.0   | 1168 | 0.1562          |
| 0.0543        | 5.0   | 1460 | 0.1441          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0