Lomonosov-t5
This model is a fine-tuned version of UrukHan/t5-russian-summarization on the Gazeta dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.5822
- eval_rouge1: 12.4365
- eval_rouge2: 2.3859
- eval_rougeL: 12.4889
- eval_rougeLsum: 12.4796
- eval_gen_len: 15.7862
- eval_runtime: 46.8578
- eval_samples_per_second: 10.18
- eval_steps_per_second: 0.64
- epoch: 1.18
- step: 10000
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Base model
UrukHan/t5-russian-summarization