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---
base_model: zainulhakim/241103_wav2vec2_Augmented_Dataset
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: augmented_indians_dataset_client2
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. -->
# augmented_indians_dataset_client2
This model is a fine-tuned version of [zainulhakim/241103_wav2vec2_Augmented_Dataset](https://huggingface.co/zainulhakim/241103_wav2vec2_Augmented_Dataset) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7949
- Wer: 0.5314
- Cer: 0.2484
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| No log | 1.0 | 156 | 1.6021 | 0.7371 | 0.5976 |
| No log | 2.0 | 312 | 1.0143 | 0.6057 | 0.3627 |
| No log | 3.0 | 468 | 0.7949 | 0.5314 | 0.2484 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1
|