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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 | |