metadata
base_model: Fsoft-AIC/videberta-base
tags:
- generated_from_trainer
model-index:
- name: CS505-Dev-CSI-videberta-base
results: []
CS505-Dev-CSI-videberta-base
This model is a fine-tuned version of Fsoft-AIC/videberta-base 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1