metadata
base_model: DeepPavlov/rubert-base-cased-conversational
tags:
- generated_from_trainer
model-index:
- name: wb-descriptions-bert
results: []
wb-descriptions-bert
This model is a fine-tuned version of DeepPavlov/rubert-base-cased-conversational 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: 0.0002
- train_batch_size: 50
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2