File size: 1,143 Bytes
67f6937 aaad3ff 504e488 aaad3ff f3e3e06 aaad3ff 67f6937 aaad3ff 67f6937 f3e3e06 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff 67f6937 aaad3ff |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
base_model: zainulhakim/241103_wav2vec2_Augmented_Dataset
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: augmented_us_dataset_client4
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_us_dataset_client4
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.
## 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
### Framework versions
- Transformers 4.43.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.19.1
|