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w2v2_ablation_spec_aug_tp0.025_tl5_fp0.008_fl64
tuanio/w2v2_ablation_spec_aug_tp0.025_tl5_fp0.008_fl64
w2v2_ablation_spec_aug_tp0.025_tl5_fp0.008_fl64 is a machine learning model from tuanio. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 19, 2023
- Updated
- Nov 20, 2023
- SHA
- eb60d2a3
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
w2v2_ablation_spec_aug_tp0.025_tl5_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
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Nov 19, 2023
- Updated
- Nov 20, 2023