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

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: 4.1540
- Wer: 154.4944

## 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: 1
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 25.0  | 50   | 1.4261          | 66.8539  |
| No log        | 50.0  | 100  | 1.3916          | 86.5169  |
| No log        | 75.0  | 150  | 1.6553          | 165.1685 |
| No log        | 100.0 | 200  | 2.6574          | 134.8315 |
| No log        | 125.0 | 250  | 2.7460          | 142.6966 |
| No log        | 150.0 | 300  | 3.4242          | 157.3034 |
| No log        | 175.0 | 350  | 3.7021          | 165.7303 |
| No log        | 200.0 | 400  | 3.9109          | 168.5393 |
| No log        | 225.0 | 450  | 4.0157          | 198.8764 |
| 3.7169        | 250.0 | 500  | 4.1466          | 164.6067 |
| 3.7169        | 275.0 | 550  | 4.1483          | 152.8090 |
| 3.7169        | 300.0 | 600  | 4.1540          | 154.4944 |


### Framework versions

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