---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: train-data
  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. -->

# train-data

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0341
- Accuracy: 0.9934
- Precision: 0.9934
- Recall: 0.9934
- F1: 0.9934
- Music Precision: 0.9910
- Music Recall: 1.0
- Music F1: 0.9955

## 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: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Music Precision | Music Recall | Music F1 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:---------------:|:------------:|:--------:|
| 0.0148        | 5.2632  | 100  | 0.0020          | 1.0      | 1.0       | 1.0    | 1.0    | 1.0             | 1.0          | 1.0      |
| 0.0021        | 10.5263 | 200  | 0.0341          | 0.9934   | 0.9934    | 0.9934 | 0.9934 | 0.9910          | 1.0          | 0.9955   |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.5.1+cu121
- Datasets 4.3.0
- Tokenizers 0.22.1