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

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: 0.4763
- Wer: 51.6854

## 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: 600

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 0.4   | 50   | 0.8037          | 64.0449 |
| No log        | 0.8   | 100  | 0.5715          | 50.0    |
| No log        | 1.2   | 150  | 0.5269          | 45.5056 |
| No log        | 1.6   | 200  | 0.5250          | 64.6067 |
| No log        | 2.0   | 250  | 0.4775          | 45.5056 |
| No log        | 2.4   | 300  | 0.4670          | 46.6292 |
| No log        | 2.8   | 350  | 0.4500          | 41.0112 |
| No log        | 3.2   | 400  | 0.4640          | 45.5056 |
| No log        | 3.6   | 450  | 0.4673          | 44.9438 |
| 0.2958        | 4.0   | 500  | 0.4807          | 50.5618 |
| 0.2958        | 4.4   | 550  | 0.4791          | 50.5618 |
| 0.2958        | 4.8   | 600  | 0.4763          | 51.6854 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1