metadata
library_name: peft
tags:
- generated_from_trainer
base_model: ai-forever/ruBert-large
model-index:
- name: HSE_PRAVO_complexity_classifier_large
results: []
HSE_PRAVO_complexity_classifier_large
This model is a fine-tuned version of ai-forever/ruBert-large 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: 0.0003
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
Training results
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2