metadata
license: apache-2.0
base_model: IlyaGusev/rut5_base_sum_gazeta
tags:
- summarization_3
- 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: 1.0665
- Rouge1: 38.7802
- Rouge2: 18.8758
- Rougel: 38.1542
- Rougelsum: 38.195
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 555 | 1.1788 | 36.7978 | 17.6912 | 36.1337 | 36.1391 |
| 1.3896 | 2.0 | 1110 | 1.0992 | 37.9462 | 18.6497 | 37.3932 | 37.4791 |
| 1.3896 | 3.0 | 1665 | 1.1053 | 38.8205 | 18.8297 | 38.0614 | 38.1843 |
| 1.1331 | 4.0 | 2220 | 1.1029 | 38.3632 | 18.7051 | 37.654 | 37.7872 |
| 1.1331 | 5.0 | 2775 | 1.0798 | 39.1371 | 18.8761 | 38.4425 | 38.4942 |
| 1.0312 | 6.0 | 3330 | 1.0602 | 38.6421 | 18.9015 | 38.0504 | 38.0638 |
| 1.0312 | 7.0 | 3885 | 1.0650 | 39.2291 | 19.0341 | 38.6098 | 38.6528 |
| 0.975 | 8.0 | 4440 | 1.0665 | 38.7802 | 18.8758 | 38.1542 | 38.195 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3