---
language:
- id
license: apache-2.0
library_name: peft
tags:
- id-asr-leaderboard
- generated_from_trainer
datasets:
- '-'
base_model: openai/whisper-large-v2
model-index:
- name: zeon8985army/KhalsuuTagalog-fineTunedLargeV2-tl-1
  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. -->

# zeon8985army/KhalsuuTagalog-fineTunedLargeV2-tl-1

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the AlistairBegg dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2708

## 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: 6e-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_steps: 12
- training_steps: 276
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.26          | 0.05  | 12   | 3.5752          |
| 2.9122        | 0.1   | 24   | 2.9222          |
| 2.1061        | 0.15  | 36   | 1.9585          |
| 1.6265        | 0.2   | 48   | 1.5771          |
| 1.3155        | 0.25  | 60   | 1.3177          |
| 1.1793        | 0.3   | 72   | 1.1780          |
| 1.0208        | 0.35  | 84   | 1.0613          |
| 0.9111        | 0.4   | 96   | 0.9361          |
| 0.8078        | 0.44  | 108  | 0.7634          |
| 0.6103        | 0.49  | 120  | 0.4794          |
| 0.3911        | 0.54  | 132  | 0.2857          |
| 0.324         | 0.59  | 144  | 0.2915          |
| 0.3228        | 0.64  | 156  | 0.2858          |
| 0.3103        | 0.69  | 168  | 0.2778          |
| 0.3458        | 0.74  | 180  | 0.2750          |
| 0.3283        | 0.79  | 192  | 0.2738          |
| 0.394         | 0.84  | 204  | 0.2728          |
| 0.3181        | 0.89  | 216  | 0.2711          |
| 0.3201        | 0.94  | 228  | 0.2704          |
| 0.3291        | 0.99  | 240  | 0.2705          |
| 0.3084        | 1.04  | 252  | 0.2709          |
| 0.32          | 1.09  | 264  | 0.2711          |
| 0.363         | 1.14  | 276  | 0.2708          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2