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mini-phobert-v3.1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0527
 
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: 64
 - 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
 
Training results
Framework versions
- Transformers 4.21.1
 - Pytorch 1.12.0+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1