---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tinyfinacialKI100
  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-tinyfinacialKI100

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: 0.5053
- Wer: 46.0674

## 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: 400

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| No log        | 0.3759 | 50   | 0.9258          | 67.9775 |
| No log        | 0.7519 | 100  | 0.7255          | 64.0449 |
| No log        | 1.1278 | 150  | 0.5674          | 50.5618 |
| No log        | 1.5038 | 200  | 0.5488          | 49.4382 |
| No log        | 1.8797 | 250  | 0.5293          | 49.4382 |
| No log        | 2.2556 | 300  | 0.5152          | 46.6292 |
| No log        | 2.6316 | 350  | 0.5011          | 43.8202 |
| No log        | 3.0075 | 400  | 0.5053          | 46.0674 |


### Framework versions

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