---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-multiclass-lang-en-base
  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-multiclass-lang-en-base

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1493
- Wer: 6.2678
- Cer: 4.3198

## 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|
| 0.0286        | 4.5872  | 500  | 0.1880          | 10.4938 | 6.6816 |
| 0.0011        | 9.1743  | 1000 | 0.1529          | 7.6923  | 5.1185 |
| 0.0003        | 13.7615 | 1500 | 0.1525          | 7.1700  | 4.8523 |
| 0.0002        | 18.3486 | 2000 | 0.1510          | 7.0275  | 4.8695 |
| 0.0001        | 22.9358 | 2500 | 0.1505          | 6.7426  | 4.5946 |
| 0.0001        | 27.5229 | 3000 | 0.1499          | 6.6952  | 4.5861 |
| 0.0001        | 32.1101 | 3500 | 0.1496          | 6.4103  | 4.4143 |
| 0.0001        | 36.6972 | 4000 | 0.1495          | 6.5527  | 4.4830 |
| 0.0001        | 41.2844 | 4500 | 0.1493          | 6.3153  | 4.3456 |
| 0.0001        | 45.8716 | 5000 | 0.1493          | 6.2678  | 4.3198 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0