Downloads · 30 days
8
3% of all-time downloads
wav2vec2_bert_fusion_iemocap_4
Ar4ikov/wav2vec2_bert_fusion_iemocap_4
wav2vec2_bert_fusion_iemocap_4 is a feature extraction model from Ar4ikov. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
254
Public
Repo size
10.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.7 GB · 100%
At a glance
- Task
- Feature Extraction
- Library
- transformers
- Access
- Public
- Created
- May 4, 2023
- Updated
- May 4, 2023
- SHA
- aeb5d012
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. -->
wav2vec2_bert_fusion_iemocap_4
This model is a fine-tuned version of on the None 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Feature Extraction
- Library
- transformers
- Created
- May 4, 2023
- Updated
- May 4, 2023