---
language:
- en
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
base_model: openai/whisper-small
model-index:
- name: Whisper Small Finetuned - SasiVardhan
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Finetuned - SasiVardhan

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the minds 14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7070

## 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: 8
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9334        | 1.0   | 56   | 0.5490          |
| 0.3311        | 2.0   | 112  | 0.4733          |
| 0.1602        | 3.0   | 168  | 0.5424          |
| 0.0487        | 4.0   | 224  | 0.5561          |
| 0.0253        | 5.0   | 280  | 0.6136          |
| 0.0064        | 6.0   | 336  | 0.6719          |
| 0.0043        | 7.0   | 392  | 0.6661          |
| 0.0045        | 8.0   | 448  | 0.6927          |
| 0.0017        | 9.0   | 504  | 0.7012          |
| 0.0014        | 10.0  | 560  | 0.7070          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2