metadata
license: cc-by-nc-4.0
base_model: nguyenvulebinh/wav2vec2-base-vietnamese-250h
tags:
- generated_from_trainer
model-index:
- name: w2v2_ablation_spec_aug_tp0.05_tl10_fp0.008_fl64
results: []
w2v2_ablation_spec_aug_tp0.05_tl10_fp0.008_fl64
This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
Training results
Framework versions
- Transformers 4.33.1
- Pytorch 1.11.0+cu115
- Datasets 2.14.5
- Tokenizers 0.13.3