metadata
tags:
- generated_from_trainer
model-index:
- name: t5-russian-spell
results: []
t5-russian-spell
This model is a fine-tuned version of sberbank-ai/ruT5-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5568
- eval_rouge1: 41.1665
- eval_rouge2: 18.3827
- eval_rougeL: 41.2147
- eval_rougeLsum: 41.1122
- eval_gen_len: 62.512
- eval_runtime: 183.2248
- eval_samples_per_second: 2.729
- eval_steps_per_second: 0.344
- epoch: 0.4
- step: 5000
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6