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---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- chris_W/dataset
model-index:
- name: Whisper-Small-dadirri
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-dadirri
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the hearing voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0231
## 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: 100
- training_steps: 400
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.52 | 50 | 3.0035 |
| 4.521 | 1.03 | 100 | 1.4394 |
| 4.521 | 1.55 | 150 | 2.7847 |
| 1.8786 | 2.06 | 200 | 0.4913 |
| 1.8786 | 2.58 | 250 | 0.0458 |
| 0.0755 | 3.09 | 300 | 0.0379 |
| 0.0755 | 3.61 | 350 | 0.0285 |
| 0.0126 | 4.12 | 400 | 0.0231 |
### Framework versions
- Transformers 4.38.0
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.15.2
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