---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: whisper-tiny-multitask-hf-200k-ep10_practice_0805
  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-tiny-multitask-hf-200k-ep10_practice_0805

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0082
- Cer: 100.0
- Acc: 1.0

## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer   | Acc |
|:-------------:|:-----:|:-----:|:---------------:|:-----:|:---:|
| 0.54          | 1.0   | 1584  | 0.2232          | 100.0 | 1.0 |
| 0.1377        | 2.0   | 3168  | 0.0907          | 100.0 | 1.0 |
| 0.0538        | 3.0   | 4752  | 0.0473          | 100.0 | 1.0 |
| 0.0286        | 4.0   | 6336  | 0.0309          | 100.0 | 1.0 |
| 0.0178        | 5.0   | 7920  | 0.0214          | 100.0 | 1.0 |
| 0.011         | 6.0   | 9504  | 0.0167          | 100.0 | 1.0 |
| 0.008         | 7.0   | 11088 | 0.0130          | 100.0 | 1.0 |
| 0.0055        | 8.0   | 12672 | 0.0115          | 100.0 | 1.0 |
| 0.0038        | 9.0   | 14256 | 0.0094          | 100.0 | 1.0 |
| 0.0027        | 10.0  | 15840 | 0.0082          | 100.0 | 1.0 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0