---
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-my_dataset_letter_BV_no_split-241025-v1
  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-ft-my_dataset_letter_BV_no_split-241025-v1

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.5499

## 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: 5e-05
- train_batch_size: 16
- 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_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 13.9778       | 1.0   | 2    | 13.5082         |
| 13.1164       | 2.0   | 4    | 11.4291         |
| 10.7363       | 3.0   | 6    | 9.4007          |
| 9.1462        | 4.0   | 8    | 8.5659          |
| 8.4123        | 5.0   | 10   | 8.1629          |
| 8.1021        | 6.0   | 12   | 7.9240          |
| 7.8847        | 7.0   | 14   | 7.7648          |
| 7.7321        | 8.0   | 16   | 7.6497          |
| 7.6318        | 9.0   | 18   | 7.5812          |
| 7.5679        | 10.0  | 20   | 7.5499          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1