---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- ./sample_speech.py
- generated_from_trainer
model-index:
- name: zhko_xlsr_run1
  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. -->

# zhko_xlsr_run1

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the ./SAMPLE_SPEECH.PY - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1948
- Cer: 0.4465

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 5.0444        | 1.0   | 6593  | 4.6695          | 0.8764 |
| 3.2619        | 2.0   | 13186 | 2.9759          | 0.6249 |
| 2.7859        | 3.0   | 19779 | 2.5370          | 0.5421 |
| 2.3947        | 4.0   | 26372 | 2.3582          | 0.5159 |
| 2.1313        | 5.0   | 32965 | 2.2462          | 0.4872 |
| 1.8083        | 6.0   | 39558 | 2.2104          | 0.4696 |
| 1.5209        | 7.0   | 46151 | 2.1621          | 0.4661 |
| 1.3735        | 8.0   | 52744 | 2.2031          | 0.4582 |
| 1.1354        | 9.0   | 59337 | 2.1740          | 0.4492 |
| 1.0788        | 10.0  | 65930 | 2.1948          | 0.4465 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1