---
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v2-ft-cv16-1__car115-tms-e3n4_car30-tms-n4r2_owner12-copy2x-241211-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-large-v2-ft-cv16-1__car115-tms-e3n4_car30-tms-n4r2_owner12-copy2x-241211-v1

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: 0.1166

## 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: 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_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6392        | 1.0   | 139  | 1.4263          |
| 0.5782        | 2.0   | 278  | 0.1170          |
| 0.1259        | 3.0   | 417  | 0.1061          |
| 0.1009        | 4.0   | 556  | 0.1046          |
| 0.0829        | 5.0   | 695  | 0.1052          |
| 0.0695        | 6.0   | 834  | 0.1071          |
| 0.0594        | 7.0   | 973  | 0.1095          |
| 0.0512        | 8.0   | 1112 | 0.1125          |
| 0.0455        | 9.0   | 1251 | 0.1145          |
| 0.0416        | 10.0  | 1390 | 0.1166          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0