---
base_model: openai/whisper-tiny
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: whisper-tinyfinacialKI
  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-tinyfinacialKI

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5532
- Wer: 62.9213

## 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: 1.35e-05
- 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: 100
- training_steps: 1200

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| No log        | 0.7519 | 100  | 0.7072          | 71.3483 |
| No log        | 1.5038 | 200  | 0.5276          | 51.1236 |
| No log        | 2.2556 | 300  | 0.4869          | 47.7528 |
| No log        | 3.0075 | 400  | 0.4923          | 43.8202 |
| 0.3216        | 3.7594 | 500  | 0.5228          | 57.3034 |
| 0.3216        | 4.5113 | 600  | 0.5561          | 52.8090 |
| 0.3216        | 5.2632 | 700  | 0.5168          | 55.6180 |
| 0.3216        | 6.0150 | 800  | 0.5289          | 64.0449 |
| 0.3216        | 6.7669 | 900  | 0.5541          | 57.3034 |
| 0.0049        | 7.5188 | 1000 | 0.5548          | 62.3596 |
| 0.0049        | 8.2707 | 1100 | 0.5499          | 63.4831 |
| 0.0049        | 9.0226 | 1200 | 0.5532          | 62.9213 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1