---
library_name: transformers
language:
- ne
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
model-index:
- name: Whisper Small Ne - Jenny Poudel
  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 Small Ne - Jenny Poudel

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3732
- Cer: 10.4532

## 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: 1e-05
- train_batch_size: 16
- 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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.5845        | 1.7857  | 100  | 0.5426          | 23.4003 |
| 0.306         | 3.5714  | 200  | 0.3589          | 15.5604 |
| 0.1432        | 5.3571  | 300  | 0.3052          | 12.7828 |
| 0.0634        | 7.1429  | 400  | 0.3039          | 12.4767 |
| 0.0331        | 8.9286  | 500  | 0.3155          | 11.6404 |
| 0.0134        | 10.7143 | 600  | 0.3395          | 10.8938 |
| 0.0047        | 12.5    | 700  | 0.3492          | 10.1023 |
| 0.0018        | 14.2857 | 800  | 0.3679          | 10.4682 |
| 0.0008        | 16.0714 | 900  | 0.3702          | 10.4980 |
| 0.0006        | 17.8571 | 1000 | 0.3732          | 10.4532 |


### Framework versions

- Transformers 4.44.2
- Pytorch 1.13.1+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1