---
license: apache-2.0
base_model: zainulhakim/240626-wav2vec2-ASR_Global
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 240801-wav2vec2-ASR-Global-All-Clients
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
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# 240801-wav2vec2-ASR-Global-All-Clients

This model is a fine-tuned version of [zainulhakim/240626-wav2vec2-ASR_Global](https://huggingface.co/zainulhakim/240626-wav2vec2-ASR_Global) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0444
- Wer: 0.9977

## 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: 0.0001
- train_batch_size: 4
- 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
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| No log        | 1.2658 | 100  | 3.0729          | 1.0    |
| No log        | 2.5316 | 200  | 3.0444          | 0.9977 |
| No log        | 3.7975 | 300  | 3.0218          | 1.0    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1