metadata
license: apache-2.0
base_model: IlyaGusev/rut5_base_sum_gazeta
tags:
- summarization_4
- generated_from_trainer
metrics:
- rouge
model-index:
- name: rut5_base_sum_gazeta-finetuned_week_gpt
results: []
rut5_base_sum_gazeta-finetuned_week_gpt
This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2643
- Rouge1: 38.9793
- Rouge2: 18.084
- Rougel: 38.2265
- Rougelsum: 38.1398
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: 5.6e-05
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.7691 | 1.0 | 1110 | 1.4005 | 37.7751 | 17.8163 | 36.9543 | 36.8721 |
| 1.4892 | 2.0 | 2220 | 1.3477 | 35.9415 | 16.8669 | 35.2207 | 35.1427 |
| 1.3579 | 3.0 | 3330 | 1.3079 | 37.7434 | 17.6683 | 36.8899 | 36.8441 |
| 1.2708 | 4.0 | 4440 | 1.2675 | 37.8746 | 17.4209 | 37.0707 | 37.0002 |
| 1.2006 | 5.0 | 5550 | 1.2703 | 38.8365 | 18.0032 | 38.0346 | 37.9948 |
| 1.1519 | 6.0 | 6660 | 1.2703 | 38.0897 | 17.5713 | 37.2911 | 37.179 |
| 1.1132 | 7.0 | 7770 | 1.2593 | 38.4929 | 17.8838 | 37.6146 | 37.5334 |
| 1.0932 | 8.0 | 8880 | 1.2643 | 38.9793 | 18.084 | 38.2265 | 38.1398 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3